AI Solutions Engineer (BE-CSS-ISA-2026-115-LD)
Core
Design, develop, and deploy practical AI solutions (LLMs, agentic workflows, RAG pipelines) for accelerator control systems and operational workflows at CERN.
Role type
AI Solutions Engineer (Applied AI/LLM)
Builds
LLM-based knowledge assistants, agentic AI workflows, secure knowledge connectors, and shared AI infrastructure/tooling.
Domain
Scientific research (particle physics) + Applied AI/LLM
Deliverable
production ML models | product features | infrastructure
Required skills
Python software development, LLM frameworks (LangChain, LlamaIndex), RAG pipelines, vector databases, agentic AI orchestration, MLOps practices, CI/CD workflows, evaluation and safety frameworks for LLMs
Preferred skills
Model Context Protocol (MCP), accelerator domain context
Technologies
Python, LangChain, LlamaIndex, vector databases, MLOps tools
Responsibilities
Design and develop LLM-based solutions including support chatbots; contribute to the ATS AI Core Team for safe agent deployment patterns; collaborate with engineers and scientists to align AI solutions with operational needs; help define and deliver central AI infrastructure and reference architectures.
Seniority
Mid-Senior, hands-on IC with technical leadership
