Senior Engineering Lead; FinTech AI

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

We’relooking for a Senior Engineering Leadto build and lead our AI engineering team in Fin Tech and Fashion Tech at ASOS, the technology teams behind Finance and our Commercial, Buying and Merchandising functions. This is ahands on engineering leadership role.

You’llline manage and grow a team of AI Engineers who build, deploy and support automation and agentic AI solutions, andyou’llstill write code yourself when it counts.

The teams we support run some of the highest volume, most process heavy operations in the business, from accounts payable,reconciliation and expenses in Finance, through to range planning, trading,stockand supplier data on the commercial side. There is real scope to take repetitive manual work off people, speed up decisions and give them their time back.

This is a delivery role rather than a strategy one. ASOS has a central AI team who own our AI policy, framework, approved tooling and guardrails, and youwon’tbe setting that direction for the wider business.

You’llbuild for the teams we support within it, working closely with the central team and our AI centre of excellence to stay aligned. Within that remit you own delivery end to end, from understanding the problem through to supporting what goes live, including the agents already running today.

Key Responsibilities

Leading and Growing the Engineering Team

• Linemanagea team of AI Engineers, coveringobjectives, one to ones, development, careerprogressionand performance.
• Grow the team. Hire well, onboard new engineers properly, and build the skills we need as the work changes.
• Coach and mentor through design reviews, pairing and code review, and give honest feedback that helps people improve.
• Look after the health of the team, balancingworkloadand capacity so people are on the right work and not carrying too much.

Technical Direction and Engineering Standards

• Own the technical direction for the team, including the architecture, reusablepatternsand reference solutions we build from.
• Set and hold the engineering standards, covering code quality, testing, evaluation, peer review, CI/CD and secure by default habits.
• Make the build or buy calls for your team, and keep an eye on running cost,performance and technical debt.

Building and Running AI Solutions

• Stay hands on. Lead from the front by writing code, prototyping, unblocking your team and picking up the hardest builds yourself.
• Design, build and ship production ready agentic AI and automation solutions: agents that can plan, reason, use tools, retrieve information, act across our systems and hand back to a person when they should.
• Build the integrations that make agents genuinely useful, connecting them to platforms such as Microsoft Dynamics 365 Finance and Operations,Recon Art, Concur, Service Now and our data platform, and use retrieval augmented generation and grounding so solutions are accurate against real business data.

Owning Delivery

• Own delivery for the team. Plan and prioritise the backlog, manage capacity and dependencies, and move work quickly from proof of…