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.
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.
Why EY – and why FS
EY is the only professional services firm with a separate business unit (“FS”) dedicated to the financial services marketplace. Our FS teams have been at the forefront of every event that has reshaped and redefined the industry.
Clients’ problems are evolving rapidly. The pace of AI and enabling technologies creates an urgent need to innovate, automate and adapt. Financial institutions want smarter, more efficient operations, new data‑driven revenue streams, and stronger risk management. Unlocking AI’s full potential means not only applying it, but also transforming the enterprise to be data‑ and technology‑led. Problems are getting more complex just as the pressure to streamline is rising.
EY is investing in engineering‑led AI at scale and expanding collaboration with Microsoft/OpenAI to bring advanced capabilities to clients via Microsoft’s secure Azure OpenAI Service. You’ll help build production‑grade systems aligned to EY platform patterns and Responsible AI guardrails.
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
- Support discovery workshops; convert needs into user stories and acceptance criteria; contribute to demos and feedback cycles.
- Build LLM/RAG features and integrations under guidance; write clean, tested, documented code; follow EY reference architectures and security patterns.
- 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
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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