Overview
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.
Role
Consultant – Applied AI Engineer
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 CP / Manchester / Birmingham / Edinburgh / Belfast — Hybrid with client-site travel
Contract
Permanent, full-time
Role purpose
Join a delivery squad building real AI-powered solutions for leading FS clients. You’ll translate business challenges into user stories, implement early features (e.g., LLM/RAG), and learn how to deliver secure, reliable solutions in enterprise settings. Your journey starts with an Applied AI Engineering Academy combining hands-on learning, hackathons and real project exposure.
What you’ll do
- Client-facing delivery: Support discovery workshops; convert needs into user stories and acceptance criteria; contribute to demos and feedback cycles.
- Solution design & implementation: Build LLM/RAG features and integrations under guidance; write clean, tested, documented code; follow EY reference architectures and security patterns.
- Product mindset & continuous improvement: Contribute to documentation, reusable accelerators and squad playbooks informed by field lessons.
What we’re looking for
- Essential
- Software fundamentals (Python/TypeScript, APIs, microservices, testing, Git).
- LLM/RAG basics (embeddings, prompts, retrieval) and an eagerness to learn evaluation/guardrails.
- Cloud fundamentals (Azure preferred), Docker, CI/CD exposure.
- Clear communication, client readiness and a growth mindset.
- Nice to have
- ML fundamentals; PyTorch/TensorFlow; Databricks; streaming patterns.
Travel & working model
Hybrid with periodic client travel across the UK (and occasional international travel as needed).
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.
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