26 jobs found

Forward Deployed Engineer London Hybrid - Willingness to Travel Technical leader-Software Engineer or Data Scientist Passionate about solving complex problems and enabling organizations to innovate? We're seeking a Forward Deployed Engineer in the UK to build impactful workflows embedded into clients' data environments click apply for full job details

Engineering Manager (Must be based in UK) UK PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As part of the project team, you will take a lead role in developing real world systems for our customers that take 1000s of calls every single day. You will work closely with Project Managers, Forward Deployed Engineers and Dialogue Designers to build out and maintain highly specialised software that delights our clients and their customers. As an Engineering Manager, you will be responsible for managing reports and projects to ensure the proposed plan abides by the timeline, team capacity, budget, and scope. This role involves both technical expertise, project management, and people management skills. Main Responsibilities: Lead, mentor, and develop a high performing engineering team focused on delivering voice AI solutions. Foster a culture of collaboration, innovation, and continuous improvement within the engineering department. Set clear objectives, monitor performance, and provide constructive feedback to drive professional growth. Encourage technical excellence by promoting best practices, knowledge sharing, and cutting edge AI methodologies. Establish and maintain engineering processes and standards to ensure consistent, high quality results across all projects. Provide hands on technical leadership, guiding engineers through complex AI challenges, from model development to system integration. BS degree in Engineering / Science or a related technical field involving coding, or equivalent industry experience. Experience with agile project management, such as scrum, kanban, post mortems etc. 2+ years of software engineering manager experience. Experience with algorithms, data structures, complexity analysis, and software design. Experience with one or more programming languages such as Python or Go. Working proficiency in verbal and written English. Exceptional communication and interpersonal skills. Preferred Requirements: 2+ years of experience in technical project management, preferably in a related industry. Knowledge of REST APIs and associated technologies such as OAuth2.0. Willing to get hands on solving problems to help the team and project move forward. A proactive collaborator with experience in interacting with different teams of varying complexity. Experience / Knowledge of deployment AI products or solutions at scale. Knowledge of telephony protocols such as SIP, or knowledge of associated networking protocols like TLS. Understanding of the software deployment cycle, including local deployments, testing, code reviews etc. Experience with Go programming language. We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long term success of the business. The listed expectations reflect what we're hiring for, so we encourage you to review the job description carefully. Participation in the company's employee share options plan Flexible working from home policy Work from outside of the UK for up to 6 months each year TELUS Health EAP 24/7 - offers you and your chosen family confidential, judgment free support for any work, health, or life challenge Annual learning and development allowance We're all about making WFH work for you - that's why we offer a one off WFH allowance when you join. Offering perks like noise cancelling headphones or a comfortable desk chair to boost your comfort and focus! Company funded fertility and family forming programmes Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we don't agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

A leading customer service AI firm based in Greater London seeks a Senior Forward Deployed Engineer. In this pivotal role, you'll collaborate with strategic customers and help integrate AI solutions to enhance their support operations. We're looking for candidates with a robust background in SaaS development, strong communication skills, and an interest in AI/ML. The role offers competitive salary, equity, and a flexible hybrid working environment, requiring at least three days on-site per week.

A leading Legal & Compliance AI company is seeking a Forward Deployed Legal Engineer in Greater London. This hybrid role focuses on client engagement, where you will leverage legal expertise to demonstrate Norm AI's technology solutions in navigating compliance challenges. Ideal candidates possess a law degree, 2-4 years of relevant experience, and strong communication skills. You'll collaborate cross-functionally to ensure client success and drive adoption of AI-driven compliance solutions.

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit learn, PyTorch, etc. Experience building production grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life long learning, and driving business value through AI Preferred Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Norm Ai Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust. Norm's platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO). Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm's proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. This Role As a Forward Deployed Legal Engineer at Norm Ai, you'll operate at the intersection of law, technology, and go-to-market execution. You'll serve as a client-facing legal and product expert partnered with Norm Ai Account Directors to demonstrate how Norm Ai's technology can transform the way organizations interpret and implement complex regulations. This is a Go-to-Market role for a product and sales-oriented lawyer who thrives in fast-paced, dynamic client environments. In this role, you will distill evolving legal, compliance, and regulatory challenges into practical, AI-enabled solutions for prospective clients through live demos, proof-of-concept deployments, and custom workshops. You'll be the bridge between our platform's pioneering AI capabilities and the prospective client's legal, compliance, and operational objectives, driving adoption and business outcomes. You'll work cross-functionally with Sales, Product, Marketing, Legal Engineering, Design, Strategy, and AI Engineering to scope solutions, communicate technical and legal value propositions, and ensure smooth transitions from sales to deployment. Success in this role requires intellectual curiosity, exceptional communication skills, and the ability to engage with C-suite stakeholders, engineers, and legal teams alike. In this role, you'll support: Pre-Sales Enablement & Client Engagement Partner with Account Directors to lead discovery conversations, map client pain points to Norm Ai's solutions, and design compelling demos and proof-of-concept engagements. Serve as the legal and regulatory voice in pre-sales discussions, contextualizing how Norm Ai's AI platform addresses compliance and regulatory workflows. Develop tailored presentations, prototypes, and collateral that align with industry-specific regulations and client needs. Translate client feedback and engagement insights into actionable guidance for product and go-to-market teams. Go-to-Market Execution Support product launches and go-to-market campaigns by contributing legal and regulatory perspectives. Create thought leadership materials, webinars, and case studies demonstrating the application of Norm Ai's technology to real-world compliance challenges. Partner with marketing and client engagement to position Norm Ai as a trusted authority on AI-driven compliance automation. Strategic Collaboration & Enablement Work cross-functionally with Product and AI Engineering to translate field learnings into product improvements and roadmap priorities. Act as a trusted internal advisor, educating Norm Ai teams on emerging regulatory trends and client expectations. Ensure seamless handoff from sales to deployment, setting clients up for long-term success. Skills & Experience - Core Law degree with 2-4 years of legal or compliance experience in a law firm, regulatory, or highly regulated industry environments. Strong understanding of how businesses operationalize regulatory and compliance obligations. Excellent communication and presentation skills, with a demonstrated ability to engage senior stakeholders and simplify complex legal concepts. Technical curiosity and comfort working with AI or legal technology tools. Self-starter who thrives in ambiguity, with exceptional project management and organizational skills. Skills & Experience - Pluses Prior experience in product, legal technology, consulting, or SaaS pre-sales roles. Background in financial services, insurance, or data privacy regulatory domains. Prior experience working with AI-driven or compliance automation tools. Enthusiasm for engaging in open-ended, exploratory conversations with prospective clients to develop innovative solutions to their legal and compliance challenges. What Success Looks Like 30 Days Develop a deep understanding of the Norm Ai platform and value proposition. Partner with Sales to observe and support initial client demos and discovery sessions. Build comfort translating regulatory concepts and client requirements into the platform's capabilities. 60 Days Independently lead client-facing demos and proof-of-concept engagements. Provide substantive feedback to product and go-to-market teams based on client interactions. Produce materials and narratives that help advance strategic sales opportunities. 90 Days Serve as the legal and technical expert on multiple client opportunities. Influence product and GTM strategy through insights from the field. Be recognized as a trusted, forward-deployed representative of Norm Ai's legal and AI capabilities. We embrace a hybrid model, in-office 4-5 days per week. If you're interested in the role but aren't sure whether you're a good fit, we'd still like to hear from you. To learn more about Norm Ai, visit our website.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? In the last six months we experienced an increase in demand for software engineers who work closely to our most strategic customers and help bridge the gap between their business goals and our AI Agent for Customer Service, Fin. As a founding Senior Forward Deployed Engineer you'll get to interact with our R&D team and influence roadmap decisions while unlocking business impact for our customers. You'll play a pivotal role in revolutionizing how our most strategic customers scale customer support. You will work closely with customers and our go to market team to deeply understand use cases and design, build, and implement solutions for them. If you're looking for ownership, creativity, and the opportunity to lead R&D and Go to Market teams in a fast paced environment, this role is for you. What will I be doing? Drive the adoption of Fin by helping prospects unlock the power of Intercom's AI capabilities to automate and scale their support operations. Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Provide them with insight to achieve outstanding results with Fin. Work hands on with customers' technical teams as a technical expert and trusted advisor, coding side by side to drive projects to completion. Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, project success and actionable product feedback. Contribute to and evolve the Forward Deployed Engineering function. Codify best practices and share insights gained from customer engagements to help us scale and grow. What skills do I need? Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created. Bonus points if you're a former founder or early engineer at a startup. You are interested in AI/ML. You're good at quickly building a good understanding of novel problems, capabilities, architectures and understanding trade offs and limitations. Strong cross functional collaboration. Ability to understand and navigate organizational boundaries and bring people together to achieve the best outcome for our customers and Intercom. Able to prototype and ship software fast, while maintaining a high bar on quality and the focus on business goals and outcomes. Proficient using and writing REST APIs to integrate systems effectively. Strong communicator. Can easily talk to engineers and non technical audiences about the same topics at different altitudes, and different levels of detail. Willing to travel and work on site with customers to build strong relationships and deeply understand their needs. Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

A tech company in the insurance sector is looking for a Senior Forward Deployed Engineer to join their team. This fully remote role in the UK involves partnering with customers to implement and optimize cutting-edge solutions. Candidates should have 5-8 years of experience in software or systems engineering, strong problem-solving abilities, and coding expertise in JavaScript, SQL, and Python. Join a well-funded, high-growth team shaping the future of insurance through AI-driven workflows.

About Norm Ai Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust. Norm's platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO). Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm's proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. This Role As a Forward Deployed Legal Engineer at Norm Ai, you'll operate at the intersection of law, technology, and go-to-market execution. You'll serve as a client-facing legal and product expert partnered with Norm Ai Account Directors to demonstrate how Norm Ai's technology can transform the way organizations interpret and implement complex regulations. This is a Go-to-Market role for a product and sales-oriented lawyer who thrives in fast-paced, dynamic client environments. In this role, you will distill evolving legal, compliance, and regulatory challenges into practical, AI-enabled solutions for prospective clients through live demos, proof-of-concept deployments, and custom workshops. You'll be the bridge between our platform's pioneering AI capabilities and the prospective client's legal, compliance, and operational objectives, driving adoption and business outcomes. You'll work cross-functionally with Sales, Product, Marketing, Legal Engineering, Design, Strategy, and AI Engineering to scope solutions, communicate technical and legal value propositions, and ensure smooth transitions from sales to deployment. Success in this role requires intellectual curiosity, exceptional communication skills, and the ability to engage with C-suite stakeholders, engineers, and legal teams alike. In this role, you'll support: Pre-Sales Enablement & Client Engagement Partner with Account Directors to lead discovery conversations, map client pain points to Norm Ai's solutions, and design compelling demos and proof-of-concept engagements. Serve as the legal and regulatory voice in pre-sales discussions, contextualizing how Norm Ai's AI platform addresses compliance and regulatory workflows. Develop tailored presentations, prototypes, and collateral that align with industry-specific regulations and client needs. Translate client feedback and engagement insights into actionable guidance for product and go-to-market teams. Go-to-Market Execution Support product launches and go-to-market campaigns by contributing legal and regulatory perspectives. Create thought leadership materials, webinars, and case studies demonstrating the application of Norm Ai's technology to real-world compliance challenges. Partner with marketing and client engagement to position Norm Ai as a trusted authority on AI-driven compliance automation. Strategic Collaboration & Enablement Work cross-functionally with Product and AI Engineering to translate field learnings into product improvements and roadmap priorities. Act as a trusted internal advisor, educating Norm Ai teams on emerging regulatory trends and client expectations. Ensure seamless handoff from sales to deployment, setting clients up for long-term success. Skills & Experience - Core Law degree with 2-4 years of legal or compliance experience in a law firm, regulatory, or highly regulated industry environments. Strong understanding of how businesses operationalize regulatory and compliance obligations. Excellent communication and presentation skills, with a demonstrated ability to engage senior stakeholders and simplify complex legal concepts. Technical curiosity and comfort working with AI or legal technology tools. Self-starter who thrives in ambiguity, with exceptional project management and organizational skills. Skills & Experience - Pluses Prior experience in product, legal technology, consulting, or SaaS pre-sales roles. Background in financial services, insurance, or data privacy regulatory domains. Prior experience working with AI-driven or compliance automation tools. Enthusiasm for engaging in open-ended, exploratory conversations with prospective clients to develop innovative solutions to their legal and compliance challenges. What Success Looks Like 30 Days Develop a deep understanding of the Norm Ai platform and value proposition. Partner with Sales to observe and support initial client demos and discovery sessions. Build comfort translating regulatory concepts and client requirements into the platform's capabilities. 60 Days Independently lead client-facing demos and proof-of-concept engagements. Provide substantive feedback to product and go-to-market teams based on client interactions. Produce materials and narratives that help advance strategic sales opportunities. 90 Days Serve as the legal and technical expert on multiple client opportunities. Influence product and GTM strategy through insights from the field. Be recognized as a trusted, forward-deployed representative of Norm Ai's legal and AI capabilities. We embrace a hybrid model, in-office 4-5 days per week. If you're interested in the role but aren't sure whether you're a good fit, we'd still like to hear from you. To learn more about Norm Ai, visit our website.

A leading tech solutions provider is seeking a Forward Deployed ML Engineer to drive the implementation of machine learning solutions for enterprise clients. This role involves engaging with client teams, optimizing ML deployments, and providing technical guidance. The ideal candidate will have a strong background in machine learning, experience in client-facing roles, and proficiency in tools like Docker and Kubernetes. This position offers flexible work arrangements and a comprehensive benefits package, promoting a diverse and inclusive workplace.

A leading Legal & Compliance AI firm in Greater London seeks a Forward Deployed Legal Engineer to bridge law and technology. You will support sales by demonstrating how AI-driven solutions transform regulatory processes. Ideal candidates have a law degree and 2-4 years of experience, with excellent presentation skills and tech curiosity. This hybrid role promotes collaboration across teams, ensuring client success through innovative, AI-enabled legal solutions.

CLS helps clients navigate the changing FX marketplace - reducing risk and creating efficiencies. Our extensive network and deep market intelligence enable CLS specialists to lead the development of standardized solutions to real market problems. Our innovative, forward-looking products make the trading process faster, easier, safer and more cost-effective - empowering our clients' success. Job Purpose The IT Security Specialist - Engineering role is responsible for the delivery of security related activities and maintenance and enhancements of security solutions to improve the security posture of the CLS estate. This individual will interact with the IT Security Architecture Team, IT Security Operations Team, Project Management Teams, global IT Teams, and outsourcing partners to deliver solutions that enhance the security program for CLS. Essential Function / Major Duties and Job Responsibilities Strategic As part of the CLS Security Engineering team, develop and implement CLS security strategy in consultation with the CLS IT teams, ensuring that all initiatives are mirrored in respective strategies including the overall CLS Strategy Provide security advice and support for information technology projects Research new security related products and services to ensure that CLS is equipped with appropriate industry best of breed tools and solutions Operational Operate and maintain CLS Security controls related to SIEM, DLP, Vulnerability Management, Cyber Threat Intelligence, Endpoint Protection, Network Protection, etc. Review and help refine CLS Security procedures to ensure compliance with cyber resilience requirements Be responsible when assigned ownership of CLS Security related Regulatory and Internal Audit finding(s), and provide effective / timely resolution Design and integrate consistent security solutions across CLS on-premise and cloud environments for domains like Vulnerability Management, Endpoint Security, Data Security, Network Security, Identity and Access management etc. Facilitate monitoring and enforcement of configurations, as well as manage and monitor security on systems deployed in the cloud in a similar fashion as is done on-premises at CLS Oversee design principles and controls relating to third party solution providers Leadership Work as a team member and individual contributor being able to work independently and confidently without direct supervision Through example and behavior, strive to provide peer leadership to other team members with the goal of being excellent service providers and enablers to other constituencies (both internal and external) Strong communication (verbal and written) skills to engage with technical and non-technical audiences Ability to clarify technical detail and confidently communicate business risks to senior management Execute CLS Security Engineering team's vision and mission in alignment with the overall CLS Security vision and mission, as well as with CLS's strategic direction as it pertains to cyber resilience. Experience / Essential and Desired for Successful Job Performance A minimum of 5 years of information security experience with at least 2 years in cloud security Expert knowledge of one or more of the following: firewalls, TCP/IP, network IDS/IPS, host-based IDS/IPS, endpoint and network-based DLP, web proxies, email protection, endpoint protection software, SIEM Sound knowledge of enterprise security concepts/frameworks and products, secure design principles and patterns Monitor, tune and develop technical CLS Security controls and frameworks to ensure appropriate preparation, monitoring and response to threats Ability to collaborate effectively with others to drive forward key security objectives Strong documentation and report writing skills (to both technical and business audiences) Excellent time management and organizational skills combined with technical CLS Security acumen Financial and/or Banking industry experience preferred Qualifications / Certifications B.S. in a technology discipline (Computer Science, Information Management, Computer Engineering, Cybersecurity or equivalent) or Security Certifications such as CISSP, SANS GIAC GSEC, GCED, GCIA, GCIH, GREM; or Cisco CCNA, CCNP; or equivalent Industry recognized cloud security qualifications (e.g. CCSK, CCSP, AWS Security Fundamentals, AWS Certified Security) Working knowledge of the following frameworks and regulations: ISO 27001/2, SANS Top 20 Critical Security Controls, NIST CSF, and FFIEC handbook Success Factors / Personal Characteristics Contributing to an Individual's Ability to Excel in the Position Possess a strong service-oriented mind set to consistently deliver balanced security solutions that include people, process and technology Possess strong technical, analytical and problem-solving skills Self-motivated to exceed management expectations and objectives Ability to effectively communicate complex technical issues to both business and technical staff at all levels Strong collaboration skills to tackle complex security challenges that may span across multiple internal and external departments and groups Able to effectively cope with change and comfortably handle risk and ambiguity, not upset when things are up in the air Tenacious resolve and positive attitude in challenging situations

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it - your internal team, genAI, or third parties - resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar's solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym - it's a mindset that defines daily operations. Why You Should Apply At Sonar, we're a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don't. Our solutions don't just solve symptoms of problems - we help fix issues at the source - for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we're all about the mission: supercharge developers to build better, faster. The Impact You Will Have You will be the main technical architect responsible for how our most strategic enterprise clients and partners implement and deploy our machine learning solutions. As one of our first group of Forward Deployed ML Engineers, you will establish our ML solutions for organizations concerned with the quality, security, performance, and cost of coding models. You will leverage your deep ML expertise and technical skills to ensure successful, production grade implementations, ultimately driving rapid market adoption through proven on site technical success and client satisfaction. What You Will Do Daily End-to-End Ownership: Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client's existing or greenfield systems as well as transferring technical knowledge to client teams when applicable. Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences. Influence Model Training & Tuning: Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air gapping). Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector specific data security standards and performance SLAs. Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others. Building Relationships: Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments. Serve as Internal Expert: Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success. The Experience You Will Need Education: Bachelor's degree in Computer Science or a related field. Experience: 2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience. ML Engineering & Training Expertise: Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments. Forward Deployed/Consulting Background: Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high performance software, involving cloud or on premise ML workloads. Technical & MLOps Knowledge: Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI). Value-Driven Influence: Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance. Why You Will Love It Here Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!). Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains. We have a flexible work policy that includes 3 days in office and 2 days work from home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely. We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever changing industry, new skills are necessary, and we're happy to help our team acquire them. As the leader in our field, our products and services are as strong as our internal team members. We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization. Benefits of Working With Sonar 100% coverage of employee premiums through BUPA for medical, dental, and Employee Assistance Programs Vision benefit through Sun Life which includes an annual vision exam and vision hardware benefits We encourage usage of our robust time off allocations with 28 days of annual leave for our employees based out of our London hub, plus additional days based on seniority and circumstances. Employer matching contribution pension scheme for up to 5%. Commuting: Public transport reimbursement of 60% for annual subscription Global workforce with employees in 20+ countries representing 35+ unique nationalities. We have an annual kick off somewhere in the world where we meet to build relationships and goals for the company. We Value Diversity, Equity, and Inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All offers of employment at Sonar are contingent upon the precise results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered.

AI Engineer (PhD) - Series A DeepTech AI Company About the Company Our client is a cutting edge deep tech start up that's redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round, they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI powered digital workers-autonomous systems that can perform advanced analytics, data science, and decision making tasks continuously, accurately, and at scale. The Role You'll collaborate with senior stakeholders, data scientists, and product teams at some of the world's most recognized enterprises-translating complex business problems into elegant, scalable AI solutions. What You'll Do Lead the design and delivery of agentic AI systems and LLM based workflows for top tier enterprise clients. Partner directly with technical and business teams to identify pain points and architect high impact AI driven solutions. Build and deploy production grade systems leveraging LLMs, RAG pipelines, multi component AI programs (MCPs), and agent frameworks. Conduct applied research to solve novel, previously unseen problems-bringing cutting edge innovation from concept to production. Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts. What You'll Bring PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity. Proven hands on experience building and deploying LLM based or agentic systems in production environments. Strong understanding of RAGs, MCPs, and scalable AI architectures. A forward deployed engineering mindset-comfortable engaging directly with clients to understand business needs and deliver measurable results. Excellent communication and problem solving skills, with the ability to translate between technical and commercial perspectives. Why Join Be part of a fast growing Series A company that's transforming how enterprises use AI. Work on real world, high impact AI projects with globally recognized clients. Collaborate with some of the brightest minds in AI and applied research. Join a culture that prizes curiosity, ownership, and performance-where winning as a team is the ultimate goal.

Infrastructure AI Engineer - Series A Deep Tech AI Company About the Company: Our client is a pioneering deep tech company transforming how enterprises leverage artificial intelligence to automate complex analytics workflows. Following a successful Series A funding round, the company is scaling rapidly to meet growing demand from some of the world's largest organizations. Their platform delivers AI-powered digital workers- autonomous systems that perform sophisticated analytics and data science tasks continuously and intelligently. By replacing fragmented tools, manual consulting, and costly licenses, these digital workers enable enterprises to achieve insights 10x faster and at a fraction of the cost, with guaranteed outcomes and zero operational overhead. The Role: As an Infrastructure AI Engineer, you'll design, deploy, and manage the infrastructure that powers some of the most advanced AI systems in production today. You'll work at the intersection of cloud computing, AI operations, and DevOps, ensuring scalable, secure, and high-performing environments for enterprise AI deployments. This is a hands-on, client-facing role where you'll collaborate with technical and business teams to bring cutting-edge AI agents and workflows to life across multi-cloud and on-premise environments. What You'll Do Architect, deploy, and maintain production-grade AI solutions across multi-cloud and on-prem infrastructures. Design and manage Kubernetes-based environments to support high-performance AI workloads. Implement best practices for availability, observability, scalability, and security in AI infrastructure. Collaborate with enterprise clients to understand deployment constraints and design tailored solutions. Integrate and operationalize LLMs, RAGs, MCPs, and agentic AI workflows into robust environments. Build and optimize CI/CD pipelines and infrastructure-as-code (IaC) frameworks (e.g., Terraform, Helm). Partner closely with AI engineering teams to ensure smooth delivery from prototype to production. What You'll Bring Strong background in cloud infrastructure engineering - experience with at least one major provider (AWS, Azure, or GCP). Proven ability to deploy and manage systems across hybrid or multi-cloud andon-premise environments. Expertise with Kubernetes, Docker, and container orchestration at scale. Familiarity with DevOps and site reliability engineering (SRE) best practices. Experience with CI/CD automation and infrastructure-as-code tools. Understanding of AI/ML deployment patterns and how to support model-driven workloads in production. Strong client-facing communication and problem-solving skills, with a forward-deployed engineering mindset. Why Join Join a fast-growing Series A company at the forefront of AI infrastructure innovation. Work on cutting-edge, real-world AI deployments for top global enterprises. Collaborate with world-class engineers and AI practitioners in a high-performance culture. Be part of a team that values ownership, excellence, and impact- where winning together is the goal.

The Automated Trading Strategies (ATS) group is responsible for systematic trading across FX, Rates, Commodities, and Credit markets. The team is responsible for a broad scope including the design and implementing of cutting edge proprietary quantitative models that drive our automated trading systems (pricing, risk management and execution), the oversight of day-to-day risk and operations, and the optimization Franchise client liquidity offering in a data-driven manner. Job Summary As an Associate AI\ML Researcher within Automated Trading Strategies team, you will accelerate our efforts on applying latest AI\ML methods on systematic trading strategy R&D. As part of a small focused team with minimal bureaucracy, you will have great independence to pursue the research directions you think would be most impactful. You are enabled with enough computational resources, and supported by excellent data and engineering teams to realize your vision. Your work will be deployed directly into production trading with P&L responsibility. The field is complex and often requires creative problem-solving, but it's also a great chance to learn and grow professionally. You will be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. You will be part of a fast-growing effort and have the opportunity to have a holistic view of market making & exchange trading, including alpha generation, portfolio construction/optimization and trade execution algorithms. This position does not require prior finance knowledge or experience. Candidates with experience in technology, AI or research institutions are strongly encouraged to apply. Job Responsibilities Apply AI\ML model to find predictive pattern from large dataset Integrate prediction model into existing strategies or setup new one Contribute to team's AI\ML libraries as well as production algo system Required qualifications, capabilities, and skills Experience in machine learning and deep learning research for any domain Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent Strong engineering skills valued, efficiency in other languages (Java/C++/C#) beyond Python Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.

Select how often (in days) to receive an alert: Resourcing Business Partner Location: UK - London Job-ID: 216071 Contract type: Standard Business Unit: IT Consulting Life on the team At Computacenter UK, we pride ourselves on fostering a culture that emphasises diversity, inclusivity, and collaboration. Weare committed to building supportive and rewarding relationships, celebrating success, and treating everyone with respect.Our focus is on putting customers first, keeping our promises, and considering long-term sustainability in all our decisions. As we look to scale our Group Professional Services business, this new position Resourcing Business Partner will play a key role in the transformation and governance of our GPS Resource Management (RM) function. This role will partner with the UK business, using Resource Management best practice to capture demand and deliver resourcing solutions that source the right skills, from the right delivery channel, at the right time to meet and exceed the requirements of our customers and deliver the right commercial outcomes for GPS. So, who are we? Group Professional Services encompasses our Engineering, Consultancy and Project Management practices together with our growing Business Solutions portfolio and nearshore/offshore centres. We are made of up of over 4,200 skilled practitioners with deep expertise across core infrastructure technologies and industry standard architecture and project management methodologies. Operating across 3 continents and serving some of the world's largest brands we drive technology change in a thriving and fast-moving digital industry What you'll do Resource Management Operations Evaluate and triage resource requests at pace, making informed decisions to route demand through the most effective delivery model and shape actionable resourcing plans Utilise a range of delivery models (including onshore, offshore, nearshore, contractors and External Partners) to build teams that meet the (often complex and fast changing) needs of our customers and deliver the right commercial outcomes for the GPS business. You will own and manage supply vs. demand forecasting to optimise utilisation and minimise non-productive time. You will support the design, development, and governance of resource management processes to enable a responsive, agile resourcing service that drives operational excellence. Stakeholder Management You will build strong and trusted relationships with the Solution area Sales and Service Management team, collaborating effectively to deliver the best resourcing solutions for them and their customers. You will work closely with the GPS Practices teams (onshore and offshore) to understand the skills and capabilities that sit within the GPS business to ensure that resourcing decisions are made fairly and support the skills, aspirations and development of our people as well as driving high levels of utilisation You will work closely with our team responsible for managing our network of external Partners, ensuring governance and best practice is deployed, in using our Partner network to augment our Professional Services capability You will collaborate widely across the organisation to resolve resource conflicts and overcome internal barriers to accomplish GPS goals. Leadership You will be responsible for leading, coaching and developing a direct report(s) You will contribute to a continuous improvement and growth mindset culture, by seeking innovation, sharing knowledge and driving the professional development of yourself and your team. You will work closely with the GPS Resource Management and Partner Management team, working collaboratively with peers and colleagues to deliver a best-in-class resource management function to the GPS business. Data & Reporting You will oversee the maintenance of the Resourcing Management Scheduling tool, ensuring demand is captured and capacity is accurately reflected to support the fulfilment of demand You will support with the provision and analysis of MI reporting, providing insight to leadership and contributing to strategic capability planning and future skills forecasting. What you'll need Background in Resource Management or IT Technical recruitment Strong relationship management skills and experience of engaging and negotiating with senior stakeholders Critical thinker with the ability to effectively problem solve at pace and find innovative ways to overcome complex business challenges Strong commercial acumen and understanding of business drivers. Able to read situations and modify behaviour to build quality relationships. Ability to work in a highly adaptable and flexible way and to operate in an environment with a high level of ambiguity Comfortable using data to drive insights and actions High levels of resilience and agility About us We are a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in winning together for our people and our planet. We help our customers to source, transform and manage their technology infrastructure to deliver digital transformation, enabling people and their business. Our business may be about technology, but first of all it's about people With over 20,000 people across 22 countries, we are proud of our inclusive culture - where everyone can thrive, feel valued, and truly belong. As an equal opportunities employer, we're committed to ensuring fair and equal access to opportunities for all. Your application will be considered on its merits, regardless of your age, disability, ethnicity, gender identity, or any other characteristics protected by law. What matters most to us is that you share our vision and values, and bring the experience and skills we're looking for. We are proud to be a Disability Confident Employer. We welcome applications from disabled people and accept applications in alternative formats. We also guarantee to interview applicants who have a disability. If you share our values and want to make a meaningful impact in a supportive, forward-thinking environment - we'd love to hear from you!

London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI Preferred Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About the Role We're hiring a Technical Customer Success Manager to own and grow some of our most strategic enterprise accounts. This is not a temporary or project-based role-you are the long-term owner of the customer relationship, accountable for adoption, performance, and ongoing outcomes. Acting as an embedded partner, you will work directly with customer product, engineering, and operations teams to design, deploy, and continually optimize solutions on Nash's platform. This role sits within our Customer Success organization and blends strategic account leadership with hands on technical problem solving. You will drive adoption, reduce defects, improve operational performance, and ensure customers realize meaningful business impact. In short: you own the account, the results, and the success of the partnership. Responsibilities Own enterprise customer accounts end-to-end - act as the single point of accountability for adoption, performance, and growth. Partner closely with customer product and engineering teams to design, deploy, and scale solutions on Nash's platform. Become a true Nash expert - understand platform capabilities and limitations as well as anyone in the company. Use your expertise to advise customers, guide integrations, and identify improvement opportunities. Drive measurable outcomes across KPIs such as delivery performance, defect reduction, and cost efficiency. Lead account growth and retention by ensuring customers realize ongoing value and by surfacing new expansion opportunities. Troubleshoot and resolve integration or workflow challenges in collaboration with customer engineers and Nash's internal teams. Act as the internal advocate for your accounts, ensuring their priorities are represented across cross functional initiatives. Qualifications (Must Have) 5+ years in a customer facing, technical role such as Technical CSM, Technical Account Manager, Solutions Engineer, Forward Deployed PM, or similar. Proven success owning enterprise customer relationships and driving adoption, performance, and growth. Strong technical fluency - comfortable with APIs, integrations, debugging workflows, and collaborating with engineering. Experience advising customer product/engineering leaders and translating technical concepts into business outcomes. Strong analytical and problem solving skills with the ability to diagnose root causes in complex systems. Demonstrated ability to rapidly master a product and use that knowledge to guide customers and shape feedback. Excellent communication and executive presence skills. Nice to Have Experience in last mile logistics, supply chain, or complex B2B SaaS systems. Experience in high growth startups or enterprise retail environments. Familiarity with tooling such as Jira, API docs, observability platforms, or engineering workflows. Background in consultative roles involving both technical depth and commercial accountability. More about Nash.AI Nash is building the logistics infrastructure for the internet Last mile is a $500B industry powering digital commerce but managed largely with self managed API integrations. Nash approaches last mile orchestration with information completeness solutions from checkout, courier management, customer engagement, and post purchase experience. Doing this enables merchants and customers to capture immense efficiencies, drive better customer experience, reliability and business outcomes. We are working towards a mission of processing a double digit percentage of every physical last mile transaction. We achieve this by providing top of the market modules for each step of the customer journey and leveraging the network effects from having more information that allows traditional competitors to collaborate. It's a big mission, but we are already seeing strong market pull as we are already serving some of the largest retailers in the world like Walmart, 7 Ellen and Woolworths. Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex Palantir, MIT) and has raised funding from top investors, including Y Combinator and a16z, to build the world's best logistics infrastructure platform. We are based in SF. What You'll Love About Us Early stage, well funded startup - directly impact the company and grow your career! Quarterly broader team on sites to bond with teammates Competitive compensation and opportunity for equity Flexible paid time off Health, dental, and vision insurance

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise wide productivity. We're using the latest in AI to automate and innovate, empowering financial service businesses to achieve exceptional productivity and compliance outcomes. Role Overview As a Forward Solutions Engineer / Principal Solutions Consultant at Aveni, you will be a key technical leader in pre sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. Your mission is to translate complex business and regulatory needs into scalable, robust, compliant solutions that underscore Aveni's value proposition. You will often be "forward deployed", meaning you'll engage closely with strategic clients, acting as subject matter expert, leading technical discovery, driving proof of concepts (POCs), and ensuring successful handover to implementation and ongoing support. About You You are a seasoned Consultant who combines deep technical capability with business insight, someone who is equally at ease in boardroom discussions as you are in exploring architecture diagrams. You thrive when solving complex, regulated industry problems, especially in financial services or adjacent sectors. You likely come from a Big 4 consultancy, technology advisory practice or a similarly demanding environment. From this background you bring: Rigorous client facing experience: doing discovery, scoping, workshops, POCs, RFPs, not just writing proposals, but engaging deeply with clients at multiple levels (operations, risk, compliance, executives). Structured, analytical problem solving: you break down fuzzy business problems, diagnose root causes, map them to technical and regulatory constraints, and propose robust, scalable solutions. High standards of delivery: you are accustomed to detailed documentation, demanding stakeholders, continuous quality checks, and the discipline of consultancy timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade offs (cost vs speed vs write down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g., CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs / RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate how Aveni's AI/LLMs meet their needs; help them navigate trade offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g., architecture templates, demo scripts, integrations) to speed up future engagements. Mentor / guide more junior solutions / presales engineers or consultants. Stay up to date with regulatory developments (e.g., Consumer Duty, risk oversight, compliance in financial services), Agentic / AI / NLP / LLM technologies, competitive landscape. Occasionally participate in post sales support / implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Requirements Must havens Substantial experience in pre sales / solutions consulting / technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade off evaluation, understanding of scalability, performance, data governance. Excellent communication and presentation skills: able to adapt technical stories for non technical executives (e.g., risk / compliance / operations leaders) as well as technical audiences. Experience leading or contributing in POCs, custom demos and pilot deployments. Deep understanding of regulatory and risk & compliance in financial services. Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice to havens Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech to text, etc.). Familiarity with cloud architectures, data warehouses / lakes, data security/compliance frameworks (e.g., ISO, GDPR, regulations specific to FS). Experience mentoring juniors, creating reusable technical assets / IP. What Success Looks Like Delivery of well scoped POCs and demos that lead to closed deals. Technical proposals and architectures that satisfy both product capability and regulatory/risk constraints of clients. Positive feedback from clients on the clarity, reliability, and impact of your solutions and engagement. Good alignment and collaboration with Product, Engineering and Sales: features and customer insights feeding into roadmap, and technical delivery matching expectations. Reusability and scale: you help build patterns or frameworks that reduce effort and risk in future similar engagements. Maintaining up to date knowledge of regulatory environment and AI advances so that Aveni remains credible and ahead in the market. What We Offer A collaborative and innovative work environment with awesome career growth opportunities. 34 days holiday plus your birthday off (inclusive of bank holidays). Share options - we believe in shared success. Skills development - continuous learning is at our core, expect the development to be front and centre of everything you do. Remote and flexible working - remote, co working spaces, or a mix of both. Life insurance, income protection and private health care. Freebies and discounts at a range of retailers. Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support). Cycle to work scheme. Pension scheme (employer contribution matched up to 5%). Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we'd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!