Lead AI Engineer (m/w/x)
Core
Designing and prototyping agent-based AI solutions (Agentic AI) and enabling enterprise-wide AI adoption through roadmaps, training, and community building.
Role type
Lead AI Engineer (Agentic AI & Enterprise Enablement)
Builds
Agent-based AI prototypes, AI roadmaps, and internal AI community initiatives
Domain
Enterprise AI, Agentic AI, Cloud & On-Premise AI Infrastructure
Deliverable
production ML models | product features
Required skills
Python, Agentic AI frameworks (LangChain, Microsoft Semantic Kernel, AutoGen), LLMs (Cloud & On-Premise), RAG architectures, Vector databases, API development, Containerization
Preferred skills
.NET/C# integration, Enterprise Architecture alignment, IT Security compliance, KPI-driven project management
Technologies
LangGraph, Azure OpenAI, vLLM, Ollama, Hugging Face, Qdrant, Azure AI Search, FastAPI, Docker
Responsibilities
Conceptualize and prototype agent-based AI solutions using cloud and on-premise APIs; Translate business requirements into technical AI concepts; Conduct workshops and training to foster AI adoption; Collaborate with Enterprise Architecture and IT Security to ensure solution integration and compliance; Hand off successful prototypes to development teams for scaling; Identify and evaluate emerging AI technologies for organizational potential.
Seniority
Senior, hands-on IC with strategic enablement focus
