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Senior Staff Generative AI Engineer - VP (IC, Hands-On)Applylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems , not just proofs-of-concept.This is an Individual Contributor (IC) role with no direct people management responsibilities.Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.As a Staff Generative AI Engineer, you will: Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python . Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems. Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale. Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments. Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready. Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production. Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity. Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions. Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind. Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards. Minimum Qualifications: 10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept. Expert-level proficiency in Python is a must-have , with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage. Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift . Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications. Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions. A proven track record of contributing to open-source projects or publishing relevant research in AI/ML. Why You'll Love Working Here: Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future. Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot . Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight . Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success. Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days). Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.Join us to build the future of intelligent enterprise solutions!

Locations: London Madrid Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG is hiring an Offer Manager on a fixed-term contract (12 months, extendable up to 24 months) to support and advance two global offers within the Operations Practice Area: Enterprise Service Operations and Customer Service Operations. You will work closely with the PA Senior Director, the offer leadership teams, and a broad network of experts to drive offer development, commercialization, content, and go-to-market activities. This is an individual contributor role grounded in influence-based leadership. You will manage your scope of work independently, coordinate across stakeholders, and translate leadership priorities into execution. You will also help embed AI-native ways of working, including the use of GenAI tools to improve personal productivity, team output, and offer effectiveness. A defining feature of this role is cross-Practice Area collaboration: Customer Service Operations: While you will be core to BCG's Operations Practice Area, you will partner closely with other practice Areas which share similar offerings, given strong overlap with customer experience, customer journeys, contact center transformation, and CX in a GenAI world Enterprise Service Operations: While you will be core to BCG's Operations Practice Area, you will partner closely with other practice Areas which share similar offerings, given strong overlap with support function design, operating models, and the digitalization of corporate functions (e.g., POP's Digital Support Functions and Excellence in Support Functions) Key responsibilities Offer strategy support and planning Support annual and ongoing offer planning across Enterprise Service Operations and Customer Service Operations: synthesize client pain points, market shifts, competitor moves, and case team insights Maintain a clear view of the offer architecture, Key Programs, and connections to adjacent BCG offers (such as Cost Offer, Procurement, etc.) Commercial monitoring and KPIs Track the state of the business: lead flow, proposal pipeline, sold cases, and revenue performance across both offers Partner with PA Finance to maintain KPI dashboards and produce regular business reports for leadership; conduct win/loss analysis and identify white spots Governance and operating cadence Coordinate offer governance: prepare materials, schedule, and run the operating cadence (leadership calls, QBRs, working sessions); track decisions and follow-ups Prioritization and backlog management Manage the backlog across offer development, content, marketing, and GTM activities; help leadership prioritize and surface trade-offs across the two offers Content development Partner with experts and the Knowledge Team to develop and disseminate content for both offers, including POVs, frameworks, case studies, tools, and benchmarks Own the offers' presence on and ensure consistency across content initiatives Cross-PA partnership Act as the day-to-day interface with the Marketing, Sales, and Pricing PA on Customer Service Operations: align on shared content, joint client moments, and integrated GTM at the intersection of customer experience and service operations Act as the day-to-day interface with the People & Organization PA on Enterprise Service Operations: align on Digital Support Functions, Org Design, and Excellence in Support Functions; co-develop integrated narratives on AI-First Organization and the Future of Work Generate affiliation across regions and sectors; help set up joint squads where relevant Sector go-to-market Partner with sector teams to align priorities, customized content, campaigns, and priority client lists for each offer Marketing and communications Partner with PA Marketing to plan publications, newsletters, and internal/external events (e.g., WWOMs, Worldwide PA meetings, roundtables, industry forums) Liaise with industry platforms and associations relevant to service operations, contact centers, GBS / shared services, and customer experience Capability building Support training, upskilling, and enablement of our teams (e.g., Gen AI in Service Operations) AI-native ways of working Apply GenAI tools (BCG-internal and external) to accelerate personal productivity and team output across synthesis, content drafting, deck creation, knowledge search, and analytics Identify and embed AI use cases into offer development, content, and GTM workflows; act as a role model for AI-native ways of working within the offers What You'll Bring Bachelor's degree required; advanced degree (Master's or MBA) preferred 6 to 8 years of relevant experience in industry or consulting Background strongly preferred in one or more of: service operations, customer service / contact center transformation, BPO and Global Business Services (GBS) / shared services, SG&A and corporate center optimization, customer experience and customer journeys, or support function (Finance / HR / IT / Procurement) operating model design Prior experience with AI / GenAI use cases in service operations (e.g., virtual agents, agent copilots, intelligent automation) is a strong plus Prior BCG experience is a plus, ideally as Project Leader, Senior Vantage, or BST Manager General GenAI fluency: confident user of AI tools for personal and team productivity, with the curiosity and judgment to apply AI to offer development, content, and GTM Strong analytical and structured thinking; ability to interpret data and draw conclusions for leadership discussions Strong written and verbal communication; ability to influence stakeholders across PAs, regions, and seniorities Excellent command of English Strong project management, organization, and follow-through; able to manage multiple priorities and proactively manage expectations in a global matrix Self-starter, service-oriented, high integrity, with the ability to maintain discretion when needed Collaborative team player; able to coach and mentor more junior team members Advanced knowledge of Outlook, PowerPoint, and Excel Who You'll Work With You will work closely with the PA Senior Director, the Operations PA Management Team, and the leadership teams of the Enterprise Service Operations and Customer Service Operations offers. You will partner regularly with the Knowledge Team, PA Marketing, PA Finance, and a broad network of experts across regions and sectors. A defining feature of the role is cross-PA collaboration: you will work hand-in-hand with BCG's other relevant Practices, helping shape integrated offers and joint client narratives. As part of BCG's Offer Management community, you will collaborate with peer Offer Managers across offers and PAs to share best practices and strengthen how BCG brings its capabilities to clients. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

SAP Functional Lead - Inventory, Planning & DataSkip to main content Functional Lead - Inventory, Planning & Data page is loaded SAP Functional Lead - Inventory, Planning & DataApplylocations: Windsortime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 3, 2026 (13 days left to apply)job requisition id: R Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is . We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.# SAP Functional Lead - Inventory, Planning & Data An opportunity to play your partAs Centrica's SAP Functional Tech Lead for Inventory, Planning & Data, you will own and shape SAP-centric inventory, forecasting, replenishment and supply-chain data capabilities within the Supply Chain Platform. You will lead the evolution of reliable, scalable and fit-to-standard planning and inventory solutions, delivering measurable improvements in forecast accuracy, stock visibility, inventory optimisation and supply-chain data quality. Working closely with Product, Operations, Data Science and Engineering, you will balance platform sustainability with innovation, shaping how AI, advanced SAP planning and automation are embedded into supply chain planning as the platform matures. Day to day You will own and shape the functional design of inventory, forecasting and replenishment solutions across SAP planning systems, including IBP for Demand, IBP for Inventory, S/4HANA MRP and Predictive MRP, ensuring clean integration with downstream execution processes. You will champion fit-to-standard planning and inventory design, prioritising SAP standard planning approaches, data structures and KPIs while challenging unnecessary bespoke logic. You will partner with Master Data, Analytics and Finance teams to ensure planning solutions consume enterprise master-data services correctly and feed operational and financial reporting reliably. You will work with Supply Chain Operations SMEs to enable data-driven forecasting, replenishment and inventory management, improving forecast accuracy, plan adherence and inventory efficiency. You will establish reliable, observable planning processes, ensuring forecast outputs, inventory positions and KPIs are explainable, traceable and trusted. You will define and track planning KPIs such as forecast accuracy, bias, MAPE, plan adherence, inventory health and data quality thresholds. You will identify where AI/ML, advanced SAP-native planning capabilities and automation can improve forecast accuracy, inventory health, replenishment decisions and planner productivity. You will provide functional leadership on planning standards and guardrails, working with Product, Architecture, Finance, Data, Operations and delivery squads to keep solutions consistent, reliable and aligned to business outcomes. What we need from you Strong hands-on experience delivering forecasting, replenishment and inventory optimisation capabilities in SAP-centric planning landscapes, including SAP IBP, S/4HANA MRP or Predictive MRP, with experience integrating or extending standard SAP capability where needed. Strong command of SAP planning data structures and hierarchies, including product and location hierarchies, planning master data and the way these drive forecasting accuracy, replenishment logic and inventory optimisation. Proven experience defining and governing planning KPIs and metrics within SAP-centric landscapes, such as forecast accuracy, bias, MAPE, plan adherence and inventory health. Practical understanding of supply chain planning and inventory operations, including S&OP cadence, replenishment policies, KPI interpretation and service-level versus cost trade-offs. Strong appreciation of how planning outputs support operational execution, financial forecasting, inventory valuation and working-capital decisions. Awareness of SAP-native AI capabilities, machine learning in demand forecasting, advanced analytics and the practical realities of adopting AI within an ERP-centred estate. Excellent collaboration and communication skills, with the ability to influence Product, Operations, Finance, Data, Architecture and delivery teams and translate complex planning topics into business impact. Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. We are CentricaWe're a family of brands revolutionising how we power the planet. When it comes to energy, no one does it like us. We make it, store it, move it, sell it and mend it. We're made up of 12 different businesses, but united by our purpose as Centrica. We're energisers. Our journey to a greener, fairer future is powered by individuals like you. We're powered by purposeThrough innovative green products, intelligent energy solutions and developing smarter ways to use and save energy, we're not just part of the energy transition, we're leading it. Our commitment goes beyond sustainability. Together we're bringing our collective energies to create positive change in our local communities. If you immerse yourself in our fight to change tomorrow, you might just find your why. We're a people placeWe're looking for people to add to our culture - not fit in with it. We're building a community where you can be unapologetically you, where differences are celebrated, and where everyone can belong. Real inclusivity also means supporting the different realities our people face. That's why we have the UK's best Carers Policy and are continually building our approach to flexibility and wellbeing. Of course, we love having fun too. We're a people place after all.

Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI Location: Manchester Other locations: Primary Location Only Date: 7 May 2026 Requisition ID: AI and Data Strategist Grade: Senior Consultant Position Overview We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Support in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as operating models, organisational structure and capabilities required to deliver the strategy Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Support EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development of high impact bid responses and proposal for AI led transformation Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Experience of contributing to enterprise-level AI strategies for complex or multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Exposure to at least one of the following domains and/or sectors: Sector: Infrastructure Domain: Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery Experience with Big 4 consulting methodologies and framework Preferred Qualifications Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) Knowledge of sustainability and climate change challenges across industries Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media Experience working in industry, government or a management consultancy environment Ability to analyse data and deliver insightful, practical solutions Experience of managing teams, including internal staff, clients and wider stakeholders Experience of delivering presentations to senior audiences Skills and experience in Portfolio, Programme and Project Management What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning:You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you:We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership:We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture:You'll be embraced for who you are and empowered to use your voice to help others find theirs. Applying for this role requires demonstration of the above qualifications and experience. If you meet the criteria, please reach out to apply.

Role:S4+ Technical LeadReporting to:Chief ArchitectDivisionGroup/CorporateWork location:FlexibleCountry:FlexibleJob Profile:TechnologyOrganisationPMOPurpose of RoleThe S4+ Tech Lead is accountable for the end-to-end technical delivery of the S4+ solution across SAP S/4HANA core, environments, landing zones, infrastructure, SAP RISE, technical tooling and the wider SAP and non-SAP ecosystem in confirmed programme scope.The role acts as the single-thread accountable owner for technical execution, ensuring that technical delivery is planned, governed, built, tested, cut over and transitioned into support in line with agreed architecture principles, Clean Core standards, SAP Activate gates and programme milestones.The S4+ Tech Lead works closely with the Integration Lead, Tooling SME, Data, Security, Infrastructure, Environment and Testing teams to ensure specialist technical areas are coordinated as part of one integrated delivery plan. The Integration Lead remains accountable for integration architecture, integration patterns, interface design assurance and integration delivery coordination; the Tech Lead ensures integration activity is aligned to the wider technical plan, dependencies, readiness criteria and programme governance.The role coordinates activity across Deloitte, SAP, Weir technology teams, BAU support teams and third-party vendors, ensuring technical ownership boundaries are clear across design, build, test, cutover, hypercare and transition to BAU.A critical part of the role is ensuring that technical solutions are right for Weir - sustainable, supportable, secure, operable and aligned to the target operating model - rather than reflecting supplier preference, legacy complexity or localised ways of working.Objectives & Measurement - Key ResponsibilitiesTechnical Delivery & ExecutionOwn the end-to-end technical delivery plan for S4+, ensuring technical activities are aligned to the integrated programme plan, SAP Activate phases and programme milestones.Translate the Chief Architect's target architecture, design principles and Clean Core intent into executable technical workplans across internal teams, Deloitte, SAP and other delivery partners.Ensure technical delivery milestones are achieved within agreed scope, time, cost and quality parameters.Maintain technical execution discipline across build, integration, data migration, security, testing, cutover and hypercare.Intervene rapidly where technical workstreams are off-track, driving corrective action and recovery plans.Ensure technical deliverables are clearly owned, sequenced, resourced and governed across Weir, Deloitte, SAP and other suppliers.Architecture, Design Authority & Technical GovernanceOwn and operate the Technical Working Group, ensuring technical decisions are prepared, reviewed, escalated and resolved effectively.Support the Chief Architect in operating the Design Authority, ensuring architectural choices remain aligned to enterprise architecture, programme scope, fit-to-standard and Clean Core principles.Ensure deviations from standard, customisation requests and technical exceptions are assessed for business value, risk, complexity, operability and long-term maintainability.Provide clear recommendations on technical design decisions, trade-offs and risk positions to the Chief Architect, Programme Director and relevant governance forums.Ensure technical decisions are documented, traceable and reflected in solution design, delivery plans and risk management processes.Reinforce fit-to-standard behaviours and prevent unnecessary technical complexity or local divergence. Strong governance over fit-to-standard is identified as critical to S/4+ success, with differences only permitted for genuine fiscal, legal or regulatory needs and escalated through senior governance where required.S/4HANA Core, Environments & Landing ZonesOwn technical coordination across the S/4HANA core platform, SAP RISE service model, environments, infrastructure dependencies and cloud landing zones.Ensure S/4 environments are planned, provisioned, configured and managed to support design, build, testing, training, cutover, deployment and hypercare needs.Coordinate technical readiness for the SAP RISE model, including dependencies with SAP, the hyperscaler and Weir infrastructure teams.Ensure the technical environment strategy supports parallel delivery demands, test cycles, data migration rehearsals, integration testing, performance testing and business readiness.Oversee technical cutover architecture, environment sequencing, fallback and recovery planning.Ensure the solution is designed for scalability, resilience, operability, security, performance and future AI / automation enablement. The programme is intended to provide scalable cloud infrastructure and AI readiness, with S/4+ laying a clean, harmonised data foundation for future analytics and intelligent enterprise capabilities.Actively drive AI and automation readiness within technical scope - ensuring the S/4HANA data foundation, integration and platform design are clean, harmonised and structured to enable SAP Business AI (e.g. Joule), embedded analytics and future intelligent-enterprise and automation use cases.Integration Across SAP and Non-SAP EcosystemOwn technical coordination of the wider SAP and non-SAP ecosystem, ensuring integration design and delivery is aligned across Salesforce, Coupa, Teamcenter, MES, OneStream, Workday, Microsoft platforms and other relevant systems.Ensure integration architecture supports end-to-end business processes, global process harmonisation, reporting and operational continuity.Drive alignment between S/4HANA, legacy systems, satellite applications, middleware, data platforms and reporting environments.Ensure integration risks, dependencies and ownership are visible and actively managed across all delivery teams.Work with functional, data and domain teams to ensure technical integration decisions support global process ownership and future-state operating model requirements.Support the move away from fragmented, local or point-solution decision-making towards a single, integrated global operating model aligned to SAP S/4HANA and future digital capabilities.Data, Security, Testing & Cutover DependenciesAct as the primary technical escalation point for cross-stream dependencies involving data, security, infrastructure, testing, environments, integration, cutover and operations.Ensure data migration, data quality, master data, reporting and analytics dependencies are technically understood, sequenced and integrated into delivery plans.Partner with the Security Lead to ensure identity, access, segregation of duties and wider security controls are embedded into technical design and delivery, and that regulatory and compliance obligations are addressed by design - including IT general controls (ITGC), data privacy and data residency/sovereignty requirements (including GDPR), and cyber security and audit obligations.Support test strategy execution by ensuring environments, interfaces, data loads, security roles and technical defect resolution processes are ready for each test phase.Own technical readiness criteria for build, system integration testing, user acceptance testing, performance testing, cutover rehearsals, go-live and hypercare.Enforce SAP Activate gate criteria and ensure technical entry and exit criteria are met before progression between phases.Ensure cutover plans are technically robust, rehearsed and aligned across SAP, non-SAP, data, infrastructure and business teams.Partner & Supplier Technical PerformanceLead day-to-day technical engagement with Deloitte and SAP technical leads in a "two-in-a-box" delivery model.Hold Deloitte, SAP and other technical partners accountable for technical deliverables, quality, timeliness and issue resolution.Ensure supplier technical plans, assumptions, dependencies and constraints are transparent, challenged and managed.Escalate partner performance issues with clear evidence, impact assessment and recommended interventions.Ensure technical delivery is coordinated across the multi-party model, including Weir internal teams, Deloitte, SAP, hyperscaler, application vendors and infrastructure partners.Support commercial and delivery governance by providing technical input into supplier performance, milestone acceptance and technical risk exposure. The programme relies on SAP, Deloitte and hyperscaler delivery components, with interdependent contracts and responsibilities across software, hosting, integration and programme delivery.Risk, Issue & Dependency ManagementOwn the technical risk, issue and dependency profile for S4+, ensuring risks are identified early, actively mitigated and escalated where required.Identify technical decisions or constraints that could impact programme timeline, cost, quality, adoption or business continuity.Provide clear, action-oriented recommendations to the Chief Architect, Programme Director and governance forums.Ensure technical risks are linked to the integrated programme plan, delivery milestones and cross-stream dependencies.Lead technical recovery actions where risks materialise or delivery deviates from plan.Maintain a strong focus on reducing complexity, protecting standardisation and ensuring the solution is operable post go-live.Support mitigation of programme risks relating to delivery delays, lower-than-expected process harmonisation, technology change and operational disruption during and after go-live.Operational Readiness, Hypercare & Transition to BAUEnsure the S4+ solution is designed and delivered with operational support, maintainability and future continuous improvement in mind.Define and enforce technical readiness for go-live and hypercare, including support models, monitoring, incident management, environment management and knowledge transfer . click apply for full job details

Why Valtech? We're the experience innovation company-a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking, or building the next generation of customer experiences, your work will help transform industries. The Role As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands on and strategic role, combining Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications Proven experience leading enterprise scale Appian delivery programmes within complex consulting environments. Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build vs buy decisions for custom plug ins and setting integration standards for delivery teams to follow. Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. Skilled at establishing effective ways of working across blended teams (e.g., client staff, third party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi application landscape, and ownership of platform governance and design standards for other developers to follow. Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. Proven experience mentoring developers and leading high performing technical teams. Experience contributing to pre sales, solution design, proposals or technical bid responses. A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to Reaching All Kinds of People We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity and technology, we drive transformation for leading organisations, including L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.

Senior Appian Development Consultant At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low-code technology, workflow automation and intelligent digital solutions. As a Senior Appian Consultant, you'll play a key role in designing and delivering scalable Appian solutions that improve operational efficiency, automate manual processes and enable organisations to respond faster to changing business needs. This is a hands on consulting role requiring strong technical expertise, client engagement skills and the ability to translate business requirements into robust enterprise applications. Role Responsibilities You are a hands on Appian specialist who enjoys solving complex business challenges through modern low code technology. You combine strong technical capability with a consulting mindset and enjoy working closely with clients to understand problems before designing scalable solutions. You will lead the design, configuration and development of enterprise Appian applications, ensuring solutions are secure, maintainable and aligned to Appian best practices. You'll contribute throughout the delivery lifecycle, from technical design and sprint planning through to testing, deployment and production support. Working collaboratively with architects, product managers, business analysts and engineering teams, you'll help shape technical solutions that balance business requirements with implementation practicality. You'll be comfortable leading technical discussions with clients, providing guidance on solution design, integration approaches and delivery best practice while mentoring junior developers and helping elevate engineering quality across delivery teams. You will actively contribute to Agile delivery ceremonies, supporting backlog refinement, estimation, sprint demonstrations and continuous improvement initiatives. You will also play an important role in maintaining delivery quality through technical reviews, unit testing, deployment management and performance optimisation. As technology continues to evolve, you remain curious and committed to continuous learning; embracing new Appian capabilities and identifying opportunities to improve delivery through automation, reusable components and emerging AI capabilities. Must Have Qualifications Proven experience delivering enterprise scale Appian solutions within complex clients. Strong experience developing Appian applications using Records, Record Types, Relationships, SAIL Interfaces, Process Models, Sites, Reports and CDTs, with the ability to manage a single application through its full lifecycle. Strong understanding of relational databases, SQL, data modelling and enterprise data structures. Comfortable working day to day within blended teams of client staff and third party vendors, building good working relationships and adapting to the client's tools, processes and team culture. Experience designing and implementing integrations using Connected Systems, Web APIs and external services, including REST and SOAP based integration patterns, exercising sound judgement on when to use built in objects, expressions, rules and plug ins versus custom development. Experience identifying performance bottlenecks, applying caching strategies, and using the Appian Health Check report and process monitoring tab to maintain production stability within an application. Experience implementing Appian's security model and managing Appian deployments, release pipelines, and troubleshooting production issues within a single application or workstream. Experience producing technical design documentation, unit testing and delivering high quality solutions against defined acceptance criteria. Strong understanding of Appian development best practices and enterprise application design principles. Experience working within Agile Scrum delivery teams, including sprint planning, refinement, estimation and demonstrations. Excellent communication skills with experience working directly with business stakeholders, Product Owners and technical teams. A proactive mindset with a passion for continuous learning and emerging Appian capabilities.

Why Valtech? We're the experience innovation company-a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking, or building the next generation of customer experiences, your work will help transform industries. The Role As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands on and strategic role, combining Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications Proven experience leading enterprise scale Appian delivery programmes within complex consulting environments. Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build vs buy decisions for custom plug ins and setting integration standards for delivery teams to follow. Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. Skilled at establishing effective ways of working across blended teams (e.g., client staff, third party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi application landscape, and ownership of platform governance and design standards for other developers to follow. Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. Proven experience mentoring developers and leading high performing technical teams. Experience contributing to pre sales, solution design, proposals or technical bid responses. A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to Reaching All Kinds of People We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity and technology, we drive transformation for leading organisations, including L'Oréal, Mars, Audi, P&G, Volkswagen, Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.

hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. Observability Architect 12 Month FTC Who We Are We're on a mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology. That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers. Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world. About you: You care deeply about producing high-quality work that delivers real value You're comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You're pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping others grow You value low-ego collaboration and enjoy working as part of multidisciplinary teams Role Objective Lead the assessment, design, and optimisation of the observability strategy for the co-location migration programme. Ensure logging, metrics, tracing, alerting, and operational dashboards provide comprehensive visibility across the new infrastructure and application estate, enabling the successful migration of the tightly-coupled monolithic platform with minimal operational risk. Identify gaps in the existing observability capability and recommend enhancements to tooling, processes, and architecture where required. Key ResponsibilitiesObservability Assessment & Strategy Review the current observability architecture across infrastructure, networks, middleware, databases, and applications. Assess existing logging, metrics, distributed tracing, and monitoring capabilities to determine readiness for the co-location migration. Develop an observability strategy that supports both migration activities and long-term operational support. Recommend enhancements or platform uplifts where current tooling does not provide sufficient visibility or resilience. Baseline Performance Analysis Analyse telemetry, monitoring data, dashboards, and operational trends from completed migration waves. Establish performance baselines for compute, storage, networking, application response times, and transaction throughput. Identify recurring operational issues and use historical insights to improve migration readiness. Define measurable service health indicators to compare pre- and post-migration performance. Monolithic Application Monitoring Design comprehensive monitoring for the tightly-coupled monolithic application estate, with particular emphasis on latency-sensitive interdependencies. Create real-time dashboards that provide operational visibility across infrastructure, middleware, databases, messaging, and application components. Ensure end-to-end transaction tracing is available to rapidly identify bottlenecks and service degradation. Validate monitoring coverage prior to each migration wave. Logging & Trace Management Review and standardise centralised logging across all migrated environments. Ensure consistent log formats, metadata, correlation IDs, and traceability across systems. Validate log ingestion, retention policies, indexing, and search performance. Ensure operational teams can rapidly investigate incidents using correlated logs and distributed traces. Alerting & Operational Readiness Review and optimise alert thresholds to minimise both missed events and unnecessary alert noise. Implement intelligent alerting aligned to business services and critical customer journeys. Define migration-specific alerting for infrastructure failures, application degradation, latency increases, replication issues, and capacity constraints. Support operational readiness activities including rehearsals and production cutover monitoring. Compliance & Audit Ensure observability solutions meet financial services regulatory requirements for auditability, log retention, security, and data governance. Validate access controls and security monitoring for observability platforms. Support evidence gathering for internal governance, audit, and regulatory reviews. Platform Improvement Evaluate the suitability of existing observability platforms and recommend improvements where required. Assess opportunities to improve automation, anomaly detection, service health monitoring, and predictive alerting. Define standards and best practices for observability across future migration phases. Stakeholder Collaboration Work closely with Infrastructure Architects, Application Architects, Platform Engineering, Security, Operations, and Migration teams. Provide technical guidance during migration planning, testing, dress rehearsals, and production cutovers. Produce architecture documentation, monitoring standards, operational runbooks, and knowledge transfer materials. Required Skills & Experience Extensive experience designing enterprise observability solutions within large-scale infrastructure or data centre migration programmes. Strong knowledge of metrics, logging, distributed tracing, and application performance monitoring (APM). Experience monitoring latency-sensitive, business-critical enterprise applications. Strong understanding of infrastructure, virtualisation, networking, storage, databases, and middleware monitoring. Experience implementing centralised logging and observability best practices. Knowledge of financial services operational resilience, audit, and regulatory requirements. Ability to analyse complex operational telemetry and identify performance bottlenecks. Excellent stakeholder management and communication skills. Why join AND Digital? We're building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way. Our model is designed to build belonging and connection: we're organised into regional 'Clubs' of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole. Our Practice Areas act as a 'second home' for our ANDis - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy. Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves. By joining AND, we'll provide: 25 days bookable holiday + flexible Bank Holidays Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice). Aviva healthcare cover (including pre-existing condition cover) for you. Flexibenefit: £1000 assigned to you via our benefits portal to select or upgrade the benefits that suit you the most. Any unused allowance from the £1000 can be taken as cash. Life Assurance. Income Protection. Eye test + first pair of glasses. Parental Benefits: Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave. Equal Opportunities Statement Diversity and inclusion are hugely important to us, and we're committed to providing equal opportunities for all. We're actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.

Client360 is one of JPMorgan Chase Commercial & Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business wide growth and transformation. Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand in hand with the platform and data operations teams to pivot their day to day activities into agent led workflows. Job Responsibilities Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent led operations. Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB wide goals and organizational objectives. Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency. Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks. Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives. Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user centricity. Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data driven insights, and stakeholder satisfaction. Supports foundational business processes that enable Client360 through AI driven solutions. Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long term strategic goals. Leverages analytics and AI tools to help derive actionable insights from integrated data and third party sources, supporting comprehensive client profiles and improved decision making. Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions. Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision making, while supporting regulatory compliance and risk management. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs. Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics. Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management. Experience supporting change within organizations and managing stakeholders across multiple functions. Track record of contributing to large scale AI integration and analytics projects. Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.Customer centric mindset with the ability to prioritize and deliver what clients and stakeholders need. Experience in working with cross functional teams and managing stakeholders to drive AI innovation. Excellent problem solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives. Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non technical audiences. Experience with emerging technologies and best practices in AI operations, business analytics, and CRM. Preferred qualifications, capabilities, and skills Experience working in a highly matrixed, complex organization. Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution. Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred. Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.