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

Contract

Permanent, full‑time

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).


• Applied‑AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.


• Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.


• Data engineering depth (Spark/Databricks; ETL/ELT); cloud‑native data + AI architectures.


• Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).


• Consulting leadership: stakeholder, budget and risk management; team leadership.

Nice to have

• Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.

Travel & working model

Hybrid with periodic client travel across the UK (and occasional international travel).

Shared closing section

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.