platform engineer for AI governance

AddanEx International provides staffing and IT consulting services. The client is setting up a central AI governance platform serving developers across a decentralised group, with a focus on cheaper, faster, and more reliable access to AI vendors.

• Build and operate the AI gateway with SSO, per-request logging, data-classification tagging, policy enforcement, and model routing on Azure using Azure OpenAI / AI Foundry, Entra ID, and APIM;
• Stand up a governed agent repository with approved agents, owners, permissions, and data scopes;
• Build a cost telemetry pipeline attributing every request to a cost centre and use case;
• Automate access provisioning and seat lifecycle for each current and future AI tool licence;
• Produce developer golden paths, including RAG, agent, and evaluation templates;
• Establish observability and runbooks so L1 support can operate routine platform work;
• Build and operate production Kubernetes workloads used by other teams;
• Develop API gateway or LLM proxy capabilities;
• Build practical LLM applications involving API integration, token cost behaviour, evaluation, and RAG patterns;
• Own production observability;
• Build internal platforms or developer services adopted voluntarily by other teams.

• Previously built an AI governance platform end to end, including components such as a gateway, agent repository or registry, policy enforcement, usage and cost telemetry, and access provisioning;
• Able to walk through a previously built platform, what it governed, who used it, and what would be done differently;
• Experience running containerised workloads that other teams depended on in production Kubernetes;
• Experience with API gateway or LLM proxy engineering, such as APIM, Kong, LiteLLM, or equivalent;
• Practical LLM application experience with API integration, token cost behaviour, evaluation, and RAG patterns;
• Production observability ownership using OpenTelemetry, Grafana, Log Analytics, or equivalent;
• Strong backend engineering skills in Python and/or TypeScript;
• Experience with IaC and CI/CD using Terraform, GitHub Actions, or Azure Pipelines;
• Experience with identity and access engineering, including SSO, RBAC, and service principals;
• Experience building an internal platform or developer service that other teams adopted voluntarily;
• ML/data-science depth is not required because this is a platform role, not a modelling role;
• English proficiency.

• Contract engagement;
• 6 Months with extensions;
• 40 Hours per week;
• Start date: ASAP / September – October;
• 100% Remote within EU.