At a Glance
- Tasks: Lead AI engineering projects, mentor teams, and ensure systems are production-ready.
- Company: Join a forward-thinking tech company in London with a hybrid work model.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on responsible AI practices.
- Why this job: Shape the future of AI while working on impactful projects and mentoring the next generation.
- Qualifications: Expertise in software engineering, applied AI, and cloud architecture required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid with client‑site travel; primary location only)
Contract: Permanent, full‑time
Role Purpose
Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.
Responsibilities
- 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.
Qualifications
- 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).
Legal
EY is an equal opportunity employer. A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.
Senior/Lead Applied AI Engineer employer: hackajob
As a Senior Applied AI Engineer at our London office, you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. We prioritise employee growth through our Applied AI Engineering Academy, offering mentorship and leadership opportunities while ensuring a strong focus on responsible AI practices. Join us to be part of a forward-thinking team that values technical excellence and provides a supportive culture for your professional development.
