AI-ingenjör inom Engineering IT Systems till Siemens Energy
Core
Build and deploy secure, scalable AI solutions for Siemens Energy's engineering IT systems, integrating AI agents and models with technical processes.
Role type
Applied AI Engineer (IC)
Builds
AI models, MCP servers, pipelines, and integrations for engineering workflows
Domain
Energy sector / Engineering IT Systems
Deliverable
production ML models
Required skills
Python, LLMs (RAG, agents), Azure AI/ML, MLOps/LLMOps, API design, SQL, data governance
Preferred skills
C#/.NET, TypeScript, PLM systems, Model Context Protocol (MCP), PyTorch, Hugging Face
Technologies
Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Docker, AKS, Azure DevOps, GitHub, PyTorch, Hugging Face
Responsibilities
Identify AI use cases and translate business needs into technical requirements; Design and develop technical solutions and select technology stacks; Select, adapt, and fine-tune AI models including LLMs; Operate and maintain AI models and services in Azure; Develop and maintain MCP servers connecting AI agents to technical systems; Build and maintain AI pipelines, APIs, and integrations following MLOps/LLMOps principles; Ensure compliance with data governance and Responsible AI standards; Support implementation and train end-users
Seniority
Mid-Senior, hands-on IC
