Consultant - Applied AI Engineer, TC

Consultant – Applied AI Engineer

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.

London CP / Manchester / Birmingham / Edinburgh/ Belfast— Hybrid with client‑site travel

Permanent, full‑time

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. 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.

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.

• 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.

• Software fundamentals (Python/Type Script, 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.

• ML fundamentals;
  PyTorch/Tensor Flow;
  Databricks; streaming patterns.

Hybrid with periodic client travel across the UK (and occasional international travel as needed).

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.

EY | Building a better working world. EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.

Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.