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. Senior Applied AI Engineer (Manager) 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 engage senior stakeholders; articulate trade-offs; ensure engineering quality across squads and complex client environments. Solution architecture ensure operational readiness; drive Responsible AI, evaluation and best practices. Product mindset 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
Senior Applied AI Engineer (Manager) TC in Edinburgh employer: EY
EY is an exceptional employer that fosters a collaborative and innovative work culture in Birmingham, providing employees with the opportunity to lead complex tax engagements for prestigious multinational clients. With a strong emphasis on professional development, EY offers extensive training and growth opportunities, ensuring that you can advance your career while making a meaningful impact in the dynamic field of corporate tax.
