IAG Transform

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The AMOS Platform Manager (AMOS) is accountable for the end-to-end product management of the AMOS maintenance platform within the Operations domain, ensuring it delivers measurable business value, operational stability, and strategic alignment across the Group. Operating as part of the Architecture & Product Delivery teams, the role owns the product vision, roadmap, backlog prioritisation, and value realisation for AMOS, working closely with architecture, engineering, operations, and business stakeholders. The Product Manager ensures AMOS is managed as a strategic operational product, balancing regulatory compliance, operational reliability, and continuous improvement while aligning with enterprise architecture standards and transformation objectives. Your responsibilities Product Ownership & Strategy Own and evolve the AMOS product vision and roadmap, aligned to operational priorities, architecture direction, and Group strategy. Translate operational needs into clear product outcomes, ensuring AMOS supports standardised, scalable maintenance processes across OpCos. Act as the single point of accountability for AMOS product decisions within Architecture & Product Delivery. Backlog & Value Management Define, maintain, and prioritise the AMOS product backlog, balancing regulatory, operational, technical, and transformation demands. Ensure backlog items are clearly defined with measurable outcomes and acceptance criteria. Track and report on value, benefits, and KPIs, ensuring delivery aligns to agreed objectives and funding expectations. Architecture & Delivery Alignment Work closely with Enterprise, Solution, and Data Architects to ensure AMOS changes align with architectural standards and target-state designs. Collaborate with delivery teams to support agile and incremental delivery, participating in planning, reviews, and retrospectives. Ensure dependencies across platforms, integrations, and data are actively managed. Operations & Stakeholder Engagement Act as the primary interface between Operations, Maintenance teams, IT delivery, and architecture. Engage senior operational stakeholders to validate priorities, manage expectations, and ensure adoption of delivered capabilities. Represent AMOS in governance, planning, and prioritisation forums within Architecture & Product Delivery. Run & Change Balance Work closely with Operations and Service Management to ensure service stability, performance, and compliance. Prioritise change requests alongside live-service needs, ensuring minimal disruption to critical maintenance operations. Support continuous improvement initiatives and operational optimisation enabled by AMOS. Your skills, experience and qualifications Essential Strong experience in AMOS Cloud Platform Management Strong understanding of product lifecycle management, backlog prioritisation, and value-driven delivery. Experience working with complex operational systems in regulated environments. Proven ability to work across architecture, delivery, and business stakeholders. Strong communication, influencing, and decision-making skills. Desirable Exposure to aviation, asset-intensive, or safety-critical operations. Familiarity with enterprise architecture governance and platform-led delivery models. Experience working in SAFe or agile product environments. Operates as part of a product-led, architecture-aligned delivery model. Balances strategic roadmap ownership with hands-on engagement in delivery and operations. Focuses on outcomes and value, not just feature delivery What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The AMOS Platform Manager (AMOS) is accountable for the end-to-end product management of the AMOS maintenance platform within the Operations domain, ensuring it delivers measurable business value, operational stability, and strategic alignment across the Group. Operating as part of the Architecture & Product Delivery teams, the role owns the product vision, roadmap, backlog prioritisation, and value realisation for AMOS, working closely with architecture, engineering, operations, and business stakeholders. The Product Manager ensures AMOS is managed as a strategic operational product, balancing regulatory compliance, operational reliability, and continuous improvement while aligning with enterprise architecture standards and transformation objectives. Your responsibilities Product Ownership & Strategy Own and evolve the AMOS product vision and roadmap, aligned to operational priorities, architecture direction, and Group strategy. Translate operational needs into clear product outcomes, ensuring AMOS supports standardised, scalable maintenance processes across OpCos. Act as the single point of accountability for AMOS product decisions within Architecture & Product Delivery. Backlog & Value Management Define, maintain, and prioritise the AMOS product backlog, balancing regulatory, operational, technical, and transformation demands. Ensure backlog items are clearly defined with measurable outcomes and acceptance criteria. Track and report on value, benefits, and KPIs, ensuring delivery aligns to agreed objectives and funding expectations. Architecture & Delivery Alignment Work closely with Enterprise, Solution, and Data Architects to ensure AMOS changes align with architectural standards and target-state designs. Collaborate with delivery teams to support agile and incremental delivery, participating in planning, reviews, and retrospectives. Ensure dependencies across platforms, integrations, and data are actively managed. Operations & Stakeholder Engagement Act as the primary interface between Operations, Maintenance teams, IT delivery, and architecture. Engage senior operational stakeholders to validate priorities, manage expectations, and ensure adoption of delivered capabilities. Represent AMOS in governance, planning, and prioritisation forums within Architecture & Product Delivery. Run & Change Balance Work closely with Operations and Service Management to ensure service stability, performance, and compliance. Prioritise change requests alongside live-service needs, ensuring minimal disruption to critical maintenance operations. Support continuous improvement initiatives and operational optimisation enabled by AMOS. Your skills, experience and qualifications Essential Strong experience in AMOS Cloud Platform Management Strong understanding of product lifecycle management, backlog prioritisation, and value-driven delivery. Experience working with complex operational systems in regulated environments. Proven ability to work across architecture, delivery, and business stakeholders. Strong communication, influencing, and decision-making skills. Desirable Exposure to aviation, asset-intensive, or safety-critical operations. Familiarity with enterprise architecture governance and platform-led delivery models. Experience working in SAFe or agile product environments. Operates as part of a product-led, architecture-aligned delivery model. Balances strategic roadmap ownership with hands-on engagement in delivery and operations. Focuses on outcomes and value, not just feature delivery What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The AMOS Platform Manager (AMOS) is accountable for the end-to-end product management of the AMOS maintenance platform within the Operations domain, ensuring it delivers measurable business value, operational stability, and strategic alignment across the Group. Operating as part of the Architecture & Product Delivery teams, the role owns the product vision, roadmap, backlog prioritisation, and value realisation for AMOS, working closely with architecture, engineering, operations, and business stakeholders. The Product Manager ensures AMOS is managed as a strategic operational product, balancing regulatory compliance, operational reliability, and continuous improvement while aligning with enterprise architecture standards and transformation objectives. Your responsibilities Product Ownership & Strategy Own and evolve the AMOS product vision and roadmap, aligned to operational priorities, architecture direction, and Group strategy. Translate operational needs into clear product outcomes, ensuring AMOS supports standardised, scalable maintenance processes across OpCos. Act as the single point of accountability for AMOS product decisions within Architecture & Product Delivery. Backlog & Value Management Define, maintain, and prioritise the AMOS product backlog, balancing regulatory, operational, technical, and transformation demands. Ensure backlog items are clearly defined with measurable outcomes and acceptance criteria. Track and report on value, benefits, and KPIs, ensuring delivery aligns to agreed objectives and funding expectations. Architecture & Delivery Alignment Work closely with Enterprise, Solution, and Data Architects to ensure AMOS changes align with architectural standards and target-state designs. Collaborate with delivery teams to support agile and incremental delivery, participating in planning, reviews, and retrospectives. Ensure dependencies across platforms, integrations, and data are actively managed. Operations & Stakeholder Engagement Act as the primary interface between Operations, Maintenance teams, IT delivery, and architecture. Engage senior operational stakeholders to validate priorities, manage expectations, and ensure adoption of delivered capabilities. Represent AMOS in governance, planning, and prioritisation forums within Architecture & Product Delivery. Run & Change Balance Work closely with Operations and Service Management to ensure service stability, performance, and compliance. Prioritise change requests alongside live-service needs, ensuring minimal disruption to critical maintenance operations. Support continuous improvement initiatives and operational optimisation enabled by AMOS. Your skills, experience and qualifications Essential Strong experience in AMOS Cloud Platform Management Strong understanding of product lifecycle management, backlog prioritisation, and value-driven delivery. Experience working with complex operational systems in regulated environments. Proven ability to work across architecture, delivery, and business stakeholders. Strong communication, influencing, and decision-making skills. Desirable Exposure to aviation, asset-intensive, or safety-critical operations. Familiarity with enterprise architecture governance and platform-led delivery models. Experience working in SAFe or agile product environments. Operates as part of a product-led, architecture-aligned delivery model. Balances strategic roadmap ownership with hands-on engagement in delivery and operations. Focuses on outcomes and value, not just feature delivery What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group's Cognitive Automation Factory. This role is effectively the operational backbone and successor-level counterpart to the Head of Cognitive Automation. It ensures that the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering 8-figure business benefits through applied AI and automation. The successful candidate will combine deep automation expertise, enterprise-grade delivery leadership, and strong commercial acumen to: Lead large, blended teams (internal and external) Engage senior stakeholders across operating companies Manage strategic technology and delivery partners Own operational governance, standards, and performance metrics Drive sustainable, measurable EBIT impact Your responsibilities 1. Factory Leadership & Operational Excellence Lead the operational performance of the Cognitive Automation Factory across the Group. Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks. Ensure predictable, high-quality delivery across multiple concurrent programmes and products. Own delivery economics, capacity planning, utilisation, and multi-shore optimisation. 2. Business Value & Benefits Realisation Ensure all AI and automation initiatives are anchored in measurable business value. Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement). Act as a senior escalation point for underperforming initiatives. Partner with Finance and OpCo stakeholders to validate tangible benefits delivered. 3. Ecosystem & Partner Management Lead and optimise a blended ecosystem of strategic partners and internal engineering squads. Manage commercial performance, contractual KPIs, and delivery standards. Ensure knowledge transfer and capability uplift within the internal team. Maintain a competitive, scalable, and innovation-led partner model. 4. Technology & Architecture Governance Provide senior oversight across the automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks and LLM evaluation methodologies o Observability, monitoring and guardrails for AI agents Ensure scalable, secure, compliant and production-grade solutions. Champion best practices in AI governance, risk management, and model lifecycle management. 5. Senior Stakeholder Engagement Engage senior leaders across operating companies at Director and C-level. Translate AI and automation capabilities into business language. Influence prioritisation decisions and roadmap alignment across the Group. Represent the CAF in senior governance forums. 6. Talent & Capability Development Build and mentor high-performing automation and AI delivery leaders. Establish clear career paths and succession planning within the CAF. Foster a culture of engineering excellence, accountability, and measurable impact. Drive continuous capability uplift across RPA, AI, and agentic systems. Your skills, experience and qualifications Essential Experience 12+ years' experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes. Proven track record of delivering significant, tangible business benefits through applied AI and automation. Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners. Experience operating at senior stakeholder level (Director/C-level engagement). Strong commercial acumen, including budget ownership and benefits tracking. Technical Depth (Non-Hands-On but Credible) The candidate must have sufficient depth to challenge architects and engineers credibly, even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow orchestration and integration patterns Enterprise-grade security and compliance considerations for AI systems Desirable Experience within aviation, transportation, logistics, or other complex operational industries. Experience scaling an AI or automation factory model. Exposure to regulated environments. Knowledge of EU AI Act and enterprise AI governance frameworks. Personal Attributes Strategic thinker with strong operational discipline. Calm under pressure in complex, multi-stakeholder environments. Commercially sharp, data-driven, and outcome-oriented. High credibility with both engineers and executives. Not dazzled by hype. Focused on value. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The AMOS Platform Manager (AMOS) is accountable for the end-to-end product management of the AMOS maintenance platform within the Operations domain, ensuring it delivers measurable business value, operational stability, and strategic alignment across the Group. Operating as part of the Architecture & Product Delivery teams, the role owns the product vision, roadmap, backlog prioritisation, and value realisation for AMOS, working closely with architecture, engineering, operations, and business stakeholders. The Product Manager ensures AMOS is managed as a strategic operational product, balancing regulatory compliance, operational reliability, and continuous improvement while aligning with enterprise architecture standards and transformation objectives. Your responsibilities Product Ownership & Strategy Own and evolve the AMOS product vision and roadmap, aligned to operational priorities, architecture direction, and Group strategy. Translate operational needs into clear product outcomes, ensuring AMOS supports standardised, scalable maintenance processes across OpCos. Act as the single point of accountability for AMOS product decisions within Architecture & Product Delivery. Backlog & Value Management Define, maintain, and prioritise the AMOS product backlog, balancing regulatory, operational, technical, and transformation demands. Ensure backlog items are clearly defined with measurable outcomes and acceptance criteria. Track and report on value, benefits, and KPIs, ensuring delivery aligns to agreed objectives and funding expectations. Architecture & Delivery Alignment Work closely with Enterprise, Solution, and Data Architects to ensure AMOS changes align with architectural standards and target-state designs. Collaborate with delivery teams to support agile and incremental delivery, participating in planning, reviews, and retrospectives. Ensure dependencies across platforms, integrations, and data are actively managed. Operations & Stakeholder Engagement Act as the primary interface between Operations, Maintenance teams, IT delivery, and architecture. Engage senior operational stakeholders to validate priorities, manage expectations, and ensure adoption of delivered capabilities. Represent AMOS in governance, planning, and prioritisation forums within Architecture & Product Delivery. Run & Change Balance Work closely with Operations and Service Management to ensure service stability, performance, and compliance. Prioritise change requests alongside live-service needs, ensuring minimal disruption to critical maintenance operations. Support continuous improvement initiatives and operational optimisation enabled by AMOS. Your skills, experience and qualifications Essential Strong experience in AMOS Cloud Platform Management Strong understanding of product lifecycle management, backlog prioritisation, and value-driven delivery. Experience working with complex operational systems in regulated environments. Proven ability to work across architecture, delivery, and business stakeholders. Strong communication, influencing, and decision-making skills. Desirable Exposure to aviation, asset-intensive, or safety-critical operations. Familiarity with enterprise architecture governance and platform-led delivery models. Experience working in SAFe or agile product environments. Operates as part of a product-led, architecture-aligned delivery model. Balances strategic roadmap ownership with hands-on engagement in delivery and operations. Focuses on outcomes and value, not just feature delivery What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group's Cognitive Automation Factory. This role is effectively the operational backbone and successor-level counterpart to the Head of Cognitive Automation. It ensures that the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering 8-figure business benefits through applied AI and automation. The successful candidate will combine deep automation expertise, enterprise-grade delivery leadership, and strong commercial acumen to: Lead large, blended teams (internal and external) Engage senior stakeholders across operating companies Manage strategic technology and delivery partners Own operational governance, standards, and performance metrics Drive sustainable, measurable EBIT impact Your responsibilities 1. Factory Leadership & Operational Excellence Lead the operational performance of the Cognitive Automation Factory across the Group. Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks. Ensure predictable, high-quality delivery across multiple concurrent programmes and products. Own delivery economics, capacity planning, utilisation, and multi-shore optimisation. 2. Business Value & Benefits Realisation Ensure all AI and automation initiatives are anchored in measurable business value. Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement). Act as a senior escalation point for underperforming initiatives. Partner with Finance and OpCo stakeholders to validate tangible benefits delivered. 3. Ecosystem & Partner Management Lead and optimise a blended ecosystem of strategic partners and internal engineering squads. Manage commercial performance, contractual KPIs, and delivery standards. Ensure knowledge transfer and capability uplift within the internal team. Maintain a competitive, scalable, and innovation-led partner model. 4. Technology & Architecture Governance Provide senior oversight across the automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks and LLM evaluation methodologies o Observability, monitoring and guardrails for AI agents Ensure scalable, secure, compliant and production-grade solutions. Champion best practices in AI governance, risk management, and model lifecycle management. 5. Senior Stakeholder Engagement Engage senior leaders across operating companies at Director and C-level. Translate AI and automation capabilities into business language. Influence prioritisation decisions and roadmap alignment across the Group. Represent the CAF in senior governance forums. 6. Talent & Capability Development Build and mentor high-performing automation and AI delivery leaders. Establish clear career paths and succession planning within the CAF. Foster a culture of engineering excellence, accountability, and measurable impact. Drive continuous capability uplift across RPA, AI, and agentic systems. Your skills, experience and qualifications Essential Experience 12+ years' experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes. Proven track record of delivering significant, tangible business benefits through applied AI and automation. Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners. Experience operating at senior stakeholder level (Director/C-level engagement). Strong commercial acumen, including budget ownership and benefits tracking. Technical Depth (Non-Hands-On but Credible) The candidate must have sufficient depth to challenge architects and engineers credibly, even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow orchestration and integration patterns Enterprise-grade security and compliance considerations for AI systems Desirable Experience within aviation, transportation, logistics, or other complex operational industries. Experience scaling an AI or automation factory model. Exposure to regulated environments. Knowledge of EU AI Act and enterprise AI governance frameworks. Personal Attributes Strategic thinker with strong operational discipline. Calm under pressure in complex, multi-stakeholder environments. Commercially sharp, data-driven, and outcome-oriented. High credibility with both engineers and executives. Not dazzled by hype. Focused on value. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law