Applied AI engineer in financial services

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.

• 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.

• 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.
• Будет плюсом: 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

• 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).