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.
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.
Location
London CP / Manchester / Birmingham / Edinburgh / Belfast— Hybrid with client‑site travel
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. If you have a passion for rallying together to solve the most complex challenges in financial services, come join our dynamic FS team!
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.
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
- 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
Hybrid with periodic client travel across the UK (and occasional international travel as needed).
#J-18808-Ljbffr”, “datePosted”: “2026-05-01”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Ernst & Young Advisory Services Sdn Bhd”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__418769319__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }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.
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.
Location
London CP / Manchester / Birmingham / Edinburgh / Belfast— Hybrid with client‑site travel
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. If you have a passion for rallying together to solve the most complex challenges in financial services, come join our dynamic FS team!
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.
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
- 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
Hybrid with periodic client travel across the UK (and occasional international travel as needed).
#J-18808-Ljbffr…