{"id":2771927,"url":"https://alion.io/job/ust-senior-ai-infrastructure-engineer-agent-runtime-platforms-london","title":"Senior AI Infrastructure Engineer (Agent Runtime Platforms)_London","company":{"id":1774626,"name":"UST","domain":"ust.com","url":"https://alion.io/company/ust-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United 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Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-07T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T15:52:46Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Senior AI Infrastructure Engineer (Agent Runtime Platforms)\nLondon - Hybrid\nASAP\n6 month Contract Inside IR35/ Fixed Term Employment\nUST is looking for a Senior AI Infrastructure Engineer with deep experience building and operating production-scale agentic AI systems.\nYou'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.\nWhat You'll Do:\nDeploy and manage AI agents and multi-agent systems in productionConfigure agent runtimes, tool integrations, permissions, and access controlsDesign memory, state management, and context-handling architecturesImplement AI guardrails, governance, monitoring, and observabilityBuild Python-based APIs, platform services, and orchestration layersDevelop scalable, cloud-native AI solutions on AWSContribute reusable frameworks, standards, and best practicesWhat You'll Bring:\nStrong Python backend engineering experienceProven experience deploying and operating AI agents in productionHands-on expertise with agent runtimes/frameworks such as Amazon AgentCore, LangGraph, OpenAI Agents, Semantic Kernel, CrewAI, AutoGen, or similarExperience with tool wiring, enterprise integrations, permissions, and governance controlsDeep understanding of agent memory, state management, and execution lifecyclesExperience with AI guardrails, observability, monitoring, and evaluationStrong cloud-native engineering experience, preferably on AWSPreferred Experience:\nEnterprise AI platform engineering and MLOps\nEvent-driven architectures (Kafka, AWS Step Functions, EventBridge, Celery)\nRegulated industries such as Financial Services, Insurance, Healthcare, or Public Sector\nLarge-scale multi-agent deployments\nWhat We're Looking For:\nA 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.\nHurry & apply!\n#UST","description_format":"text","description_chars":2129,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated 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