tech lead.

ResponsibilitiesCritically, you will provide significant input into product architecture for re-usable AI products that can be adopted by more than one part of the Group within the domain of IMS (related to Maintenance, Repair and Overhaul Services). In so doing, you will maximise re-use potential whilst minimising any associated product premium. This will involve articulating and mitigating technical risks in a disciplined and data-driven manner and supporting development of technical blueprints that left-shift discovery and early value release, and subsequently evolve into fully industrialised enterprise AI products. You will simplify the complexities of operating in a multi-tenanted environment by building reusable products that work seamlessly across multiple Operating Companies (e.g. Aer Lingus, British Airways, Iberia, and Vueling). And you will continuously monitor and reduce internal consumers’ effort required to discover and adopt these AI-powered products by treating colleagues as customers and optimizing the associated journeys.You will also be accountable for the technical direction for AI / ML platforms for IMS products, including lightweight generative AI abstraction and the route to live and runtime platform for ML development. And you will ensure that all teams operate a structured, agile technical governance process which supports rapid and auditable decision-making with appropriately devolved responsibilities, evidencing conformance to all standards and guardrails for re-usable technical components, design patterns, interfaces and machine learning models.You will maintain an “always-on” view of the ever-changing external AI landscape, and lead on modelling the costs and benefits of individual generative models and associated implementation approaches.You will work closely with the AI Engineering Lead and IMS squad tech leads in IAG’s AI Labs (currently London and Barcelona) to build an aligned community of enthusiastic, forward-looking pragmatists who continuously challenge themselves to learn and improve as individuals whilst also driving incremental improvements to ROI for AI investments across the Group. ...