Senior Applied AI Engineer (Manager) TC

EY; Birmingham; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

EY invites an experienced Senior Applied AI Engineer (Manager) to lead technical delivery across AI services for financial services and public sector clients. You will set technical direction, mentor engineers and ensure production‑ready systems with strong governance and observability.

This hybrid role spans architecture, leadership and hands‑on coding in Python/TypeScript on Azure/AWS/GCP with Kubernetes, data engineering and Responsible AI practices. UK client travel is expected.

Qualifications

• Deep software/systems engineering with Python/TypeScript and distributed systems.
• Applied‑AI expertise in LLM/RAG engineering and telemetry monitoring.
• Cloud architecture across Azure/AWS/GCP; Kubernetes/Docker; security concepts.
• Data engineering depth with Spark/Databricks and ETL/ELT patterns.
• Enterprise integration and SRE principles including SLIs/SLOs and runbooks.
• Consulting leadership: stakeholder, budget and risk management; team leadership.

Responsibilities

• Lead technical delivery across solution threads; set technical direction and mentor engineers.
• Architect enterprise‑grade AI services and ensure operational readiness; drive Responsible AI practices.
• Provide product mindset: reviews, reference architectures and reusable accelerators.

Skills

Python

TypeScript

Distributed systems

CI/CD

LLM/RAG engineering

Telemetry monitoring

Release management

Azure

AWS

GCP

Kubernetes

Docker

Serverless

IAM & security

Spark/Databricks

ETL/ELT

SRE principles

Stakeholder mgmt

Budget management

Team leadership

Tools

Databricks

Spark

CI/CD pipelines

Azure DevOps

Job description

Senior Applied AI Engineer (Manager)

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.

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

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

Why EY — and why FS

As AI complexity and regulatory expectations rise, FS clients need technical leaders who can architect, govern and operate AI at scale. EY’s engineering‑led approach — and our collaboration with Microsoft/OpenAI via Azure OpenAI Service — positions our teams to deliver safe, reliable solutions embedded in enterprise environments. You will guide squads and shape architectures to meet these demands.

Role purpose

Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.

EY Grade: Manager (UK)

What you’ll do

Client‑facing engineering & leadership

• Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.

Solution architecture & implementation leadership

• Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.

Product mindset & continuous improvement

• Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.

What we’re looking for

Essential

• Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).
• Applied‑AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
• Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
• Data engineering depth (Spark/Databricks; ETL/ELT); cloud‑native data + AI architectures.
• Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
• Consulting leadership: stakeholder, budget and risk management; team leadership.

Nice to have

• Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI 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.

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.

A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.

"FDEFS"