Job Description

Join Barclays as a Senior AI Platform Engineer, where you will lead the design, delivery, and operational excellence of our enterprise AI infrastructure. You will own the engineering quality and technical direction across core platform subsystems including the AI Gateway, inference routing, guardrails, and observability - ensuring they are secure, scalable, and production-grade.

 

This role combines technical leadership with hands-on delivery. You will drive execution across workstreams, set engineering standards, remove blockers for the team, and coach engineers to grow their skills and autonomy.

 

To be successful as a Senior AI Platform Engineer, you must have the following essential skills;

• Platform/infra architecture at enterprise scale — distributed systems, active-active, failover patterns
• Expert Python (FastAPI/async) or Go/Java — high-throughput, low-latency production systems
• Deep AWS/EKS/Envoy — Bedrock, IAM, Aurora, CloudFormation, GPU scheduling, multi-tenancy, service mesh (Istio), envoy
• GenAI/Agentic AI — LangGraph/LangChain or Google ADK, MCP/A2A protocols, prompt engineering, RAG, vLLM serving

 

Some other highly valued skills may include;

• AI safety/guardrails — prompt injection detection, PII redaction, content filtering
• AI security frameworks — NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10
• Envoy Proxy (xDS API, WASM filters, AI Gateway extensions)
• Financial services background — regulatory, data residency, compliance

 

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills

 

Location is London