Senior Consultant – Applied AI Engineer
At EY, were all in to shape your future with confidence.
Well 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.
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
London / Manchester / Birmingham / Edinburgh / Belfast – Hybrid with client‑site travel
Contract
Permanent, full‑time
Why EY – and why FS
Within EYs FS, youll help leading banks, insurers and capital‑markets firms move from AI experimentation to reliable production adoption – integrating systems with enterprise data, security and governance. Youll be part of a growing engineering capability shaping AI‑enabled operating models for complex financial institutions.
Role purpose
Operate as a hands‑on engineer within a squad, taking ownership of defined components and delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security and observability. Strengthen your foundations through the Applied AI Engineering Academy while taking on more responsibility for solution shaping and stakeholder engagement.
EY Grade: Senior Consultant (UK)
What you’ll do
Client‑facing engineering & delivery
* Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos and solution reviews; drive adoption through testing and iteration.
Solution design & implementation
* Design and implement RAG pipelines, agents, microservices and integrations; apply monitoring, evaluation and Responsible AI guardrails.
Product mindset & continuous improvement
* Shape MVP scope, backlog and release planning; capture reusable patterns and contribute to shared accelerators.
What we’re looking for
Essential
* Strong Python/TypeScript; async patterns; API design; testing/CI; microservice fundamentals.
* Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding.
* Cloud engineering (Azure preferred), Docker/Kubernetes, serverless; secure networking/IAM.
* Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover.
* Consulting behaviours: stakeholder engagement and clear, client‑ready communication.
Nice to have
* Document/graph stores; streaming (Event Hub/Kafka); cloud architecture exposure and governance credentials.
Travel & working model
Hybrid with periodic client travel across the UK (and occasional international travel).
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.
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