DevOps / AgentOps Engineer | AI Transformation (w/m/d)
Core
Building and operating central platform components for internal AI applications and agents, ensuring scalable and secure deployment of GenAI and Agentic AI solutions.
Role type
Senior DevOps / AgentOps Engineer (AI Infrastructure)
Builds
Scalable GenAI and Agentic AI platforms and applications for internal use
Domain
Enterprise AI, Cloud Infrastructure, MLOps/LLMOps/AgentOps
Deliverable
production ML models
Required skills
Cloud engineering, DevOps, CI/CD, Infrastructure-as-Code, Containerization, Deployment and monitoring processes, Modern AI/GenAI/LLM application understanding, Scalable cloud or platform architecture
Preferred skills
Microsoft Azure, Microsoft Fabric, Foundry, GitHub, Copilot Studio
Technologies
Azure, Fabric, Foundry, GitHub, Copilot Studio
Responsibilities
Build and evolve central platform components for internal AI applications and agents; Implement and operate AI solutions from MVP to production scale; Develop deployment, monitoring, and operational standards for AI and agent-based applications; Establish reusable approaches for MLOps, LLMOps, and AgentOps; Ensure security, compliance, and governance requirements in AI solution operations; Collaborate with internal business units, AI & Data, and governance units to introduce new AI solutions
Seniority
Senior, hands-on IC
