Senior AI Infrastructure Engineer (Agent Runtime Platforms) at UST, London/Remote, 6 Months, £Contract Rate

Role description

Senior AI Infrastructure Engineer (Agent Runtime Platforms)

London – Hybrid

ASAP

6 month Contract Inside IR35/ Fixed Term Employment

UST is looking for a Senior AI Infrastructure Engineer with deep experience building and operating production-scale agentic AI systems.

You'll work with leading agent runtime platforms such as Amazon AgentCore Runtime (or similar) to deploy, secure, and scale AI agents and multi-agent workflows across enterprise environments.

What You'll Do:

• Deploy and manage AI agents and multi-agent systems in production
• Configure agent runtimes, tool integrations, permissions, and access controls
• Design memory, state management, and context-handling architectures
• Implement AI guardrails, governance, monitoring, and observability
• Build Python-based APIs, platform services, and orchestration layers
• Develop scalable, cloud-native AI solutions on AWS
• Contribute reusable frameworks, standards, and best practices

What You'll Bring:

• Strong Python backend engineering experience
• Proven experience deploying and operating AI agents in production
• Hands-on expertise with agent runtimes/frameworks such as Amazon AgentCore, LangGraph, OpenAI Agents, Semantic Kernel, CrewAI, AutoGen, or similar
• Experience with tool wiring, enterprise integrations, permissions, and governance controls
• Deep understanding of agent memory, state management, and execution lifecycles
• Experience with AI guardrails, observability, monitoring, and evaluation
• Strong cloud-native engineering experience, preferably on AWS

Preferred Experience:

• Enterprise AI platform engineering and MLOps
• Event-driven architectures (Kafka, AWS Step Functions, EventBridge, Celery)
• Regulated industries such as Financial Services, Insurance, Healthcare, or Public Sector
• Large-scale multi-agent deployments

What We're Looking For:

A senior engineer who understands that successful AI solutions require robust runtime infrastructure, not just LLMs. You'll have hands-on experience building, deploying, and operating agent-based systems, with expertise in agent runtimes, tool integrations, permissions, guardrails, and memory/state management.