10 hours ago
London, United KingdomSenior
Responsibilities
- Design and build Azure AI platform capabilities focused on agent runtimes, orchestration, and tool integration.
- Contribute to the Agentic AI Platform initiative and define standards for building, integrating, and operating agents.
- Create and maintain templates and reference implementations for LLM and generative AI workflows.
- Implement governed LLM and enterprise-tool access patterns using APIM, platform gateways, Entra ID, RBAC, and managed identities.
- Develop LLMOps, AgentOps, and GenAIOps capabilities covering model access, routing, caching, evaluation, telemetry, feedback loops, and cost controls.
- Design secure tool-access patterns, credential management, and enterprise API integrations for agents.
- Embed observability, reliability, alerting, scalability, and operational-readiness practices into production AI systems.
- Apply software engineering, automated testing, versioned deployment, and CI/CD practices to AI platform components.
- Partner with Cloud Infrastructure, Security, Product teams, and external partners to deliver secure, scalable, and cost-effective Azure environments.
Requirements
- Significant experience as an AI Engineer, AI Platform Engineer, or similar delivering production-grade AI systems.
- Hands-on experience with LLMs, generative AI, and agent-based systems in real-world environments.
- Strong understanding of the end-to-end AI lifecycle from experimentation through deployment and operation.
- Practical knowledge of production LLM or GenAI runtime concerns, including model access, routing, caching, token usage, cost optimization, and reliability.
- High proficiency in Python and experience building APIs and service-oriented systems.
- Experience with CI/CD pipelines, automated testing, and versioned deployments for AI or platform components.
- Practical experience with observability tooling for logging, metrics, tracing, and alerting.
- Experience working in cloud environments, preferably Azure.
- Experience with Azure AI Foundry is preferred, or comparable hands-on GenAI or agent-platform experience with the ability to apply those patterns in Azure.
- Experience with Azure API Management is preferred, particularly as a governance or integration boundary.
- Familiarity with AgentOps, MLOps, or GenAIOps concepts, including monitoring, evaluation, and feedback loops.
- Strong collaboration and influencing skills, with a pragmatic engineering-led approach to responsible and ethical AI.
Benefits
- Employee discount and access to employee sample sales.
- 25 days of paid annual leave plus an additional celebration day.
- Discretionary bonus scheme.
- Private medical care scheme.
- Flexible benefits allowance that can be taken as cash or used for other benefits.
- Personalized learning and in-the-moment development opportunities.
Categories
About ASOS
ASOS is a global online fashion and beauty retailer for 20‑somethings, selling own‑brand and third‑party labels via its website and mobile apps. The company earns revenue from direct‑to‑consumer e‑commerce, shipping to customers worldwide and offering marketplace services for brands. Founded in 2000 and headquartered in London, ASOS is a public company listed on the London Stock Exchange and runs in‑house content and fulfillment operations at scale.