At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 

Join EY and help to build a better working world. 

 

Senior Applied AI Engineer (Manager)

You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.

Location

Location  London CP / Manchester / Birmingham / Edinburgh/ Belfast Hybrid with client‑site travel

Why EY — and why FS

As AI complexity and regulatory expectations rise, FS clients need technical leaders who can architect, govern and operate AI at scale. EY’s engineering‑led approach — and our collaboration with Microsoft/OpenAI via Azure OpenAI Service — positions our teams to deliver safe, reliable solutions embedded in enterprise environments. You will guide squads and shape architectures to meet these demands.

Role purpose

Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.

EY Grade: Manager (UK)

What you’ll do

Client‑facing engineering & leadership

• Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.

Solution architecture & implementation leadership

• Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.

Product mindset & continuous improvement

• Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.

What we’re looking for

Essential

• Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).