Remote Lead Software Engineer

As an AI-Tech Lead for the IMS domain, you will be an enterprise-level senior leader who is pivotal in driving material EBIT impact through application of AI technology across the client Group. Reporting to the Group Head of Software Engineering and aligned to the Group’s Chief Data Scientist, you will be accountable for ensuring technical designs and overarching technology strategy provide an optimal balance between cost, risk, time to value, and all other considerations for AI solutions and ML platform development.

Critically, 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). 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. You will continuously monitor and reduce internal consumers’ effort required to discover and adopt these AI-powered products by treating colleagues as customers and optimising 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. 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 client’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.

You will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for business, ensuring frameworks can scale across all OpCos.

Shifts: Monday – Friday (37.5 hours per week) weekly travel, relationship-building and influencing, including at executive level, across client AI teams and OpCos.

• Assessing the feasibility of new AI initiatives, use cases, and adoption of existing propositions, and identifying low-cost, quick-start technical approaches to support left-shifted value.
• Operating a structured and data-driven approach to articulating and burning down technical risk.
• Owning technical governance, including the KDD (Key Design Decision) process for IMS products, supporting rapid auditable decision-making and conformance to Group standards for reusable components, design patterns, and ML models.
• Experience and knowledge of technical approach to model development and contemporary ML engineering, including 3rd party platforms, routes to live and CICD pipelines for MLOps and data science.
• Maintaining a disciplined, auditable approach to architectural decision making aligned to agile principles.
• Continuously assessing and disseminating new 3rd party AI capabilities to ensure client and the operating companies have access to the most cost-effective options.
• Architectural consensus building with client CTO, CDIO, cloud platform and data platform teams.

You will also foster an engaged community of technology practitioners and interested parties across the Group, and partner with the People and Culture team to ensure AI Academy learning path content / curricula are created and consumed by colleagues across the Group.

Ability to design enterprise-grade data solutions under tight timelines. Experience in advisory or consulting roles for data engineering projects. Ability to implement standards and frameworks for scalable data solutions across multiple operating companies.

At least 10 years of experience working in Enterprise Engineering, working in complex environments, including the delivery of AI tools and capabilities, with a proven track record of delivering tangible value through technology.

Willingness and ability to be on-site and travel weekly between Barcelona and London. Strategic and analytical thinker, with the ability to translate business problems and opportunities into potential AI solutions and actions.

This is a 6-month contract. A day rate, in-scope IR35 either PAYE or Hays approved Umbrella company. This role provides hybrid working access from the comforts of your own home and only going to our state-of-the-art office in Waterside (2/3 days per week). May involve international travel.

If your application is successful, you’ll be involved in a live virtual interview with one of our client’s hiring managers to get to know you better.