At a Glance
- Tasks: Lead the development of cutting-edge AI products and mentor a dynamic technical team.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, health insurance, and a supportive work/life balance.
- Other info: Work in a multicultural setting with opportunities for travel and career growth.
- Why this job: Shape the future of AI while making a real impact in a fast-paced environment.
- Qualifications: 15+ years in engineering leadership with deep AI expertise and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
We are hiring a senior technical leader to set the technical direction, discipline and delivery velocity for IAG’s next generation of agentic AI products. The role requires proven experience building production‑grade AI agents, leading mixed internal and partner teams, and shaping a multi‑vendor agent ecosystem across OpenAI, Anthropic, Azure, LangGraph, AutoGen and emerging frameworks.
Responsibilities
- Technical Ownership
- Define the agentic architecture strategy, including orchestration patterns, tool integration, memory and runtime governance.
- Drive reusable agent component creation and adoption across all operating companies.
- Make architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and cost modelling.
- Engineering Leadership
- Lead and mentor a small multidisciplinary technical team building enterprise‑grade AI agents integrated with complex airline systems.
- Establish best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other frameworks.
- Implement engineering discipline: observability, safety, automated evaluation, behavioural testing and continuous improvement.
- Matrix and Partner Leadership
- Operate effectively across Group, OpCos, cloud, data and security teams.
- Coordinate delivery streams, align stakeholders, and maintain consistent engineering standards.
- Manage external partners to meet quality, cost and velocity expectations.
- Platform and Architecture Leadership
- Shape the Group’s lightweight GenAI abstraction layer for fast, secure deployment.
- Own agile technical governance, architecture documentation and risk escalation.
- Monitor AI evolution and benchmark vendor capabilities.
- Product and Delivery Impact
- Collaborate with product leads to align technical designs with measurable EBIT impact.
- Identify quick‑start approaches that release value early.
- Build a developer experience that encourages rapid adoption of AI components across the Group.
- Stakeholder Influence
- Build relationships with all airlines and influence at senior executive levels (CDIO‑1, Group CTO, CDAO, CISO).
- Support Group‑wide AI upskilling via the AI Academy curriculum.
Qualifications, Experience & Qualities
- 15+ years of engineering leadership delivering complex software systems at scale.
- Direct experience architecting and delivering production AI agents with measurable business impact.
- Deep technical expertise in the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation.
- Experience with Anthropic, Azure OpenAI and at least one other framework (LangGraph or AutoGen).
- Proven ability to lead internal engineering teams and external partner teams.
- Strong track record operating in a matrix environment and aligning diverse stakeholders without direct authority.
- Demonstrated integration of LLM‑based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools.
- Grounding in DevSecOps, cloud‑native architecture, observability and CI/CD.
- Strong communication skills; able to translate complex technical concepts to senior executives.
- Experience with high‑stakes, fast‑paced environments and ambiguous challenges.
- Willingness to travel internally within Europe on a weekly basis as required.
Nice‑to‑Haves
- Airline or travel industry experience.
- Building reusable platform components adopted across multiple business units.
- Experience with model hosting, fine‑tuning, distillation or evaluation frameworks.
- Experience with globally distributed teams and multi‑vendor delivery ecosystems.
What We Offer
- A challenging career in a dynamic, fast‑moving environment.
- Opportunity to work in a multicultural setting with offices in multiple locations.
- Support for work/life balance, 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.
AI Engineering Product Manager employer: IAG GBS Poland sp. z o.o.
Join IAG as an AI Engineering Product Manager and be part of a dynamic, multicultural team dedicated to pioneering the next generation of agentic AI products. We offer a challenging career with opportunities for professional growth, a strong emphasis on work/life balance, and comprehensive benefits including health insurance and performance bonuses. Our collaborative work culture encourages innovation and supports your development in a fast-paced environment, making it an excellent place for those looking to make a meaningful impact in the airline industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI agents. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and execs.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes tracking your application a breeze!
We think you need these skills to ace AI Engineering Product Manager
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI agents and the specific frameworks mentioned in the job description. We want to see how your skills align with our needs!
Showcase Your Leadership Skills:Since this role involves leading teams, don’t forget to include examples of your engineering leadership. Share stories about how you’ve mentored others or driven projects to success – we love a good success story!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IAG GBS Poland sp. z o.o.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AI frameworks mentioned in the job description, like OpenAI, Anthropic, and Azure. Brush up on your knowledge of model orchestration and tool integration, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading multidisciplinary teams and managing external partners. Be ready to discuss how you've influenced stakeholders and aligned diverse teams without direct authority.
✨Demonstrate Business Impact
Think about how your previous projects have delivered measurable business impact. Be prepared to share specific metrics or outcomes that showcase your ability to drive value through AI solutions.
✨Engage with the Interviewers
Don’t just answer questions; engage in a dialogue. Ask insightful questions about their current AI initiatives and how you can contribute. This shows your genuine interest and helps you assess if the company is the right fit for you.
