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
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
- 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
BenefitsWhy 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
Skills Required
- Hands-on experience building and operating an AI governance or platform capability end-to-end in production
- Ability to demonstrate a previous AI platform implementation, including its scope, governance, users, and lessons learned
- Strong production experience with Kubernetes and containerized workloads
- Hands-on experience with AI gateways or LLM proxies such as Azure API Management, Kong, LiteLLM, or equivalent
- Practical experience developing LLM applications, including API integration, token and cost behavior, evaluation, and RAG patterns
- Strong production observability experience with OpenTelemetry, Grafana, Azure Log Analytics, or equivalent
- Strong backend engineering skills in Go, Python, or TypeScript; Go preferred
- Hands-on experience with infrastructure as code and CI/CD using Terraform and GitHub Actions or Azure Pipelines
- Strong identity and access management experience, including SSO, RBAC, and service principals
- Proven experience building an internal platform or developer service adopted successfully by other teams
- Strong ownership, problem-solving, and independent working capabilities
What We Do
inventYOU is an IT Consulting firm founded in Sweden in 2017. At inventYOU we offer senior professional IT services. Our consultants have extensive experience in the industry and throughout the years have assisted our customers in their successful digital transformation journeys. InventYOU can offer a wide variety of nearshoring professional IT services in various technology stacks from Athens, Greece. This enables inventYOU to provide customers a large pool of highly educated, skilled and experienced IT-professionals at very competitive prices. Working in the same time zone, with Swedish speaking account management allows for a solid and transparent delivery. This collaboration also provides limited travel if the customer and project require an on-site presence.
