About the Role
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.
Responsibilities
•Shape engineering approaches; engage senior stakeholders; articulate trade-offs; ensure engineering quality across squads and complex client environments.
•Architect enterprise-grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.
•Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.
Requirements
•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.
•A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.
Conditions
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. Hybrid with periodic client travel across the UK (and occasional international travel).
