CERN
Research and Development
AISolutionsEngineer(BE-CSS-ISA-2026-115-LD)
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“AI Solutions Engineer (BE-CSS-ISA-2026-115-LD) at CERN. Skills: AI Solutions, LLM, Agentic AI, RAG pipelines. Contribute to AI-driven software evolution. Identify AI embedding opportunities”
Industry & Context.
Solving Problems
What They're Looking For.
Must Have
Master's Degree or equivalent experience, Solid Python software development experience, Experience designing and delivering production applications, Experience building RAG pipelines, Experience working with vector databases, Experience with chunking and embedding techniques, Experience with MLOps practices, Ability to write clear technical documentation, Ability to communicate complex ideas, Ability to build effective working relationships, Ability to communicate clearly with diverse audiences, Knowledge of programming techniques and languages, Knowledge of Python, Knowledge of ICT system architecture and design, Knowledge of development, validation, and deployment of ML/AI solutions, Knowledge of data pipeline and knowledge retrieval system design, Structured and organised approach to tasks, Pragmatic understanding of generic technical solutions, Spoken and written English
Nice to Have
Practical knowledge of LLM frameworks, Hands-on experience building RAG pipelines, Hands-on experience with vector databases, Familiarity with agentic AI orchestration, Familiarity with Model Context Protocol (MCP), Motivation to develop agentic AI expertise, Demonstrated ability to develop agentic AI expertise, Understanding of LLM evaluation frameworks, Understanding of LLM safety frameworks, Experience with CI/CD, Curiosity about AI in scientific environments, Openness to learning accelerator domain context
What You'll Do.
Contribute to AI-driven software evolution
Identify AI embedding opportunities
Implement AI embedding opportunities
Design LLM-based solutions
Develop LLM-based solutions
Build first-line support chatbot
Join ATS AI Core Team
Take major role in LLM/agentic AI rollout
Contribute to reusable patterns
Contribute to evaluation frameworks
Contribute to safe agent deployment practices
Collaborate with engineers
Align AI solutions with operational needs
Align AI solutions with organisational standards
Contribute to AI initiatives
Adapt to emerging AI priorities
Help define central AI infrastructure
Help deliver central AI infrastructure
Contribute to shared tooling
Contribute to reference architectures
Contribute to MLOps practices
Contribute to evaluation frameworks
How You'll Work.
Team & Collaboration
Cross-group collaboration; Collaborative engineering environment; Working with engineers and scientists; Working with CERN IT; Working with BE-CSS colleagues; Working with ATS groups; Diverse scientific and engineering backgrounds
Communication Scope
Communicate complex ideas; Communicate clearly; Technical documentation
Full Job Description
At [CERN](http://home.cern), the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Introduction: You will work at the forefront of applying artificial intelligence to accelerator control systems and operational workflows at CERN. Working collaboratively across the BE-CSS group and the broader Accelerator and Technology Sector (ATS), you will design, develop, and deploy practical AI solutions — from LLM-based knowledge assistants to agentic AI workflows. A defining aspect of your role will be contributing to the newly established ATS AI Core Team, where you will provide expertise in LLM and agentic AI systems, secure knowledge connectors, and safe agent deployment patterns. Your work will span hands-on software development, cross-group collaboration, and technical leadership — an excellent opportunity to work alongside engineers and scientists from across CERN and to shape the organisation’s AI capabilities in a meaningful and lasting way. Functions: * Contribute to the AI-driven evolution of the BE-CSS group’s software product portfolio, identifying and implementing opportunities to embed AI capabilities across group applications. * Design and develop LLM-based solutions, including a first-line support chatbot backed by retrieval-augmented generation (RAG) pipelines, vector databases, and secure knowledge connectors, in close collaboration with the CERN IT department providing the underlying MLOPs substrate. * Join the ATS AI Core Team and take a major role in the rollout of LLM/agentic AI and knowledge systems, contributing to reusable patterns, evaluation frameworks, and s
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