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.
Hurry & apply!
#UST
AI Governance, Design Thinking, Product Design, Stakeholder Management, Generative AI, Solutioning
Senior AI Infrastructure Engineer (Agent Runtime Platforms)_London employer: UST
As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.
