# Senior AI Platform Engineer

> InventYOU AB · Stockholm, Sweden (Hybrid) · Full-time · Posted 2026-08-25

**Workplace:** hybrid

## Description

We are looking for a **Senior AI Platform Engineer** to design, build, and operate a production-grade AI platform within a complex enterprise environment.

In this role, you will take end-to-end technical ownership of the AI platform, including AI gateway engineering, governance, agent management, access control, cost telemetry, observability, and developer enablement. This is a highly hands-on role for someone who has **already built an AI governance/platform capability in production** and can bring that experience into a new environment.

### Key Responsibilities

-   Build and operate an enterprise **AI Gateway**, including SSO, request logging, data-classification tagging, policy enforcement, and model routing
-   Work with **Azure OpenAI / AI Foundry, Entra ID, and Azure API Management (APIM)**
-   Build and maintain a governed repository of approved AI agents, including ownership, permissions, and data scope
-   Develop cost telemetry to attribute AI usage to specific cost centres and use cases
-   Automate access provisioning and licence lifecycle management for enterprise AI tools
-   Develop reusable developer templates and golden paths for **RAG, AI agents, and evaluation**
-   Establish production observability, monitoring, and operational runbooks
-   Build and operate containerised workloads on **Kubernetes**
-   Implement identity and access controls including **SSO, RBAC, and service principals**
-   Build internal platform capabilities and developer services that can be adopted across engineering teams
-   Implement Infrastructure as Code and CI/CD practices for reliable platform delivery

## Requirements

-   **Previous hands-on experience building an AI governance/platform capability end-to-end in production**
-   Ability to demonstrate a previous AI platform implementation, including what was built, what it governed, who used it, and lessons learned
-   Strong production experience with **Kubernetes** and containerised workloads
-   Hands-on experience with **AI gateways / LLM proxies**, such as APIM, Kong, LiteLLM, or equivalent
-   Practical experience developing **LLM applications**, including API integration, token/cost behaviour, evaluation, and RAG patterns
-   Strong production observability experience using **OpenTelemetry, Grafana, Azure Log Analytics**, or equivalent
-   Strong backend engineering skills in **Go (preferred), Python, or TypeScript**
-   Hands-on experience with **Infrastructure as Code and CI/CD**, including Terraform and GitHub Actions or Azure Pipelines
-   Strong experience with identity and access management, including **SSO, RBAC, and service principals**
-   Proven experience building an internal platform or developer service successfully adopted by other teams
-   Strong ownership, problem-solving, and independent working capabilities

### Tech Stack

**AI & Azure:** Azure OpenAI, Azure AI Foundry, APIM  
**Identity:** Entra ID, SSO, RBAC, Service Principals

**Backend:** Go, Python, TypeScript  
**Platform:** Kubernetes, Containers  
**AI Gateway:** APIM, Kong, LiteLLM or equivalent  
**Observability:** OpenTelemetry, Grafana, Azure Log Analytics  
**Infrastructure & CI/CD:** Terraform, GitHub Actions, Azure Pipelines  
**AI Engineering:** LLM APIs, RAG, Agents, Evaluation

### You will be a great candidate for us if you

-   Have already built and operated an enterprise AI platform rather than only experimented with AI technologies
-   Can take end-to-end technical ownership with a high degree of independence
-   Understand both AI engineering and production platform engineering
-   Build platforms and developer services that other engineering teams want to use
-   Can balance governance, security, cost control, and developer experience
-   Are comfortable making technical decisions in complex enterprise environments

## Benefits

### Why join inventYOU

-   Build and shape enterprise-scale AI platform capabilities
-   Work hands-on with modern Azure and Generative AI technologies
-   Take ownership of technically complex and business-critical solutions
-   Work across AI engineering, cloud, platform engineering, security, and DevOps
-   Contribute to the adoption of AI across large-scale enterprise environments

## Apply

[Apply at InventYOU AB](https://apply.workable.com/inventyou-ab/j/BE0AAD9C17/apply)

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