Описание:
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.
Задачи:
- Shape engineering approaches
- engage senior stakeholders
- articulate trade-offs
- ensure engineering quality across squads and complex client environments. Architect enterprise-grade AI services (agents, RAG pipelines, orchestration layers, platform components)
- ensure operational readiness
- drive Responsible AI, evaluation and best practices
- Mentor engineers
- lead technical reviews
- establish reference architectures and reusable accelerators
- contribute to internal knowledge sharing and external thought leadership
Требования:
- 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.
Будет плюсом:
- Graph/big-data stacks
- streaming
- cloud architect certifications and Responsible AI governance credentials
- A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential
Условия:
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. Hybrid with periodic client travel across the UK (and occasional international travel).
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