About this role
Salary: £61,000 - 101,000 per year
Requirements: Significant experience as an AI Engineer, AI Platform Engineer or in a similar role delivering production-grade AI systemsHands-on experience with LLMs, Generative AI and agent-based systems in real-world environmentsStrong understanding of the end-to-end AI lifecycle, from experimentation through deployment and operationPractical understanding of production LLM or GenAI runtime concerns such as model access, routing, caching, token usage, cost optimisation and reliabilityHigh proficiency in Python, with experience building APIs and service-oriented systemsExperience working with CI/CD pipelines, automated testing and versioned deployments for AI or platform componentsPractical experience with observability tooling, including logging, metrics, tracing and alerting, and using telemetry to improve reliability and performanceComfortable working in cloud environments, preferably AzureExperience with Azure AI Foundry is preferred, but we are also open to comparable GenAI or agent platforms and applying those patterns within AzureExperience with Azure API Management (APIM) is preferred, especially as a governance or integration boundaryFamiliarity with AgentOps, MLOps or GenAIOps concepts, including monitoring, evaluation and feedback loopsStrong collaboration skills, with the ability to influence platform standards and enable other engineering teamsA pragmatic, engineering-led approach to responsible and ethical AI, with a focus on safety, reliability and trust Responsibilities: Design and build AI platform capabilities on Azure, with a strong focus on agentic AI patterns such as agent runtimes, orchestration and tool integrationContribute to the Agentic AI Platform initiative, helping define how agents are built, integrated and operated across the organisationDesign and maintain standardised templates and reference implementations for LLM and Generative AI workflows, enabling teams to adopt consistent patterns for prompt design, tool calling, multi-step agent flows, retries and failure handlingImplement secure, governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC and managed identitiesContribute to LLMOps and model runtime patterns, including standard approaches for model access, routing, caching, token optimisation and cost-aware usage controlsSupport lifecycle and evaluation practices for agent configurations, prompts and AI workflows, including testing, controlled change and release readinessDesign secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integrationContribute to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loopsContribute to reliability patterns for production AI systems, including latency monitoring, alerting, scaling considerations and operational readinessApply CI/CD and software engineering best practices to AI platform and agentic componentsEmbed observability by default, ensuring AI systems are measurable, debuggable and auditable through logs, metrics and tracesPartner with Cloud Infrastructure and Security teams to design secure, scalable and cost-effective Azure environments Technologies: Agentic AIAIAPIAzureCI/CDCloudExcelSupportLLMMCPMLOpsPythonRBACSecurityAI Agents More:
We are ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you are free to be your true self without judgement, and channel your creativity into a platform used by millions. We are Disability Confident Committed and our Talent team can support reasonable adjustments throughout the recruitment process. This full-time, mid-senior level role sits within our Information Technology function and the AI Platform team, with a primary focus on the Agentic AI Platform initiative and broader AI platform capabilities as we evolve. We offer employee discount, employee sample sales, 25 days paid annual leave plus an extra celebration day, a discretionary bonus scheme, private medical care, a flexible benefits allowance, and personalised learning experiences to help you thrive and excel in your role.
last updated 36 week of 2026