AI Solutions Engineer (BE-CSS-ISA-2026-115-LD)

Posted Yesterday
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Geneva, Genève, CHE
Hybrid
Senior level
3D Printing • Information Technology • Industrial • Manufacturing
The Role
Design, develop, and deploy LLM-based and agentic AI solutions for accelerator control and operational workflows. Build RAG pipelines with vector databases and embeddings, contribute to ATS AI Core Team, define MLOps/CI-CD patterns, safety and evaluation frameworks, and collaborate across CERN engineering and IT teams.
Summary Generated by Built In
Company Description

At 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.

Job Description

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 safe agent deployment practices across the sector.
  • Collaborate with engineers, domain experts, and scientists from across CERN —including CERN IT, BE-CSS colleagues, and other ATS groups — to align AI solutions with operational needs and organisational standards.
  • Contribute to other AI-related initiatives in the BE-CSS group and across the ATS sector, sharing expertise and adapting to emerging priorities in the rapidly evolving field of applied AI.
  • Help define and deliver the central AI infrastructure needed across ATS, contributing to shared tooling, reference architectures, MLOps practices, and evaluation frameworks that enable groups to adopt AI solutions safely and efficiently.

Qualifications

  • Master's Degree or equivalent relevant experience in the field of Computer Science or a related field.

Experience:

  • Solid experience in Python software development, including the design and delivery of production-ready applications in a collaborative engineering environment.
  • Practical knowledge of LLM frameworks (such as LangChain or LlamaIndex) and hands-on experience building retrieval-augmented generation (RAG) pipelines and working with vector databases, chunking and embedding techniques.
  • Familiarity with agentic AI orchestration approaches and the Model Context Protocol (MCP), or a strong motivation and demonstrated ability to develop this expertise rapidly.
  • Understanding of evaluation and safety frameworks for LLM-based systems, including techniques for assessing reliability, output quality, and responsible deployment.
  • Experience with MLOps practices and CI/CD workflows; ability to write clear technical documentation and communicate complex ideas to diverse audiences.
  • Ability to build effective working relationships and communicate clearly with colleagues from diverse scientific and engineering backgrounds, including non-specialist audiences.
  • Curiosity about the application of AI in complex scientific and operational environments, with an openness to learning the accelerator domain context through direct engagement with its challenges.

Technical competencies:

  • Knowledge of programming techniques and languages: notably Python.
  • Architecture and design of ICT systems.
  • Identification and selection of relevant emerging ICT technologies.
  • Development, validation and deployment of machine learning and AI solutions.
  • Design and implementation of data pipelines and knowledge retrieval systems.

Behavioural competencies:

  • Achieving Results: having a structured and organised approach towards work; being able to set priorities and plan tasks with results in mind.
  • Demonstrating Accountability: working conscientiously and reliably; delivering on promises.
  • Solving Problems: adopting a pragmatic approach; understanding the value of adopting generic rather than 'gold -plated' technical solutions.
  • Working in Teams: building and maintaining constructive and effective work relationships.
  • Demonstrating Flexibility: adapting quickly and resourcefully to shifting priorities and requirements.

Language skills:

  • Spoken and written English, with a commitment to learn French.

Additional Information

Eligibility and closing date:

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.

This vacancy will be filled as soon as possible, and applications should normally reach us no later than 05.07.2026 at 23:59 CEST.

Employment Conditions:

Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.

Working Hours: 40 hours per week

Job Flexibility: Hybrid

Job grade: 6-7

Job reference: BE-CSS-ISA-2026-115-LD

Field of work: Software Engineering and IT

Benchmark Job Title: Computing Engineer

Global Benefits

  • A competitive salary (tax free), increasing in line with your years of relevant experience.
  • 30 days of paid leave per year plus 2 weeks annual closure.
  • Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
  • Family, child and infant monthly allowances depending on your individual circumstances.
  • A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances.
  • Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure.

Overview of CERN - Discover a world where the impossible is made possible!

At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive.

Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success.

If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART!

More information about us, here: careers.cern

Skills Required

  • Master's degree in Computer Science or equivalent relevant experience
  • Solid Python software development experience and delivery of production-ready applications
  • Practical knowledge of LLM frameworks (e.g., LangChain, LlamaIndex) and building RAG pipelines
  • Hands-on experience with vector databases, chunking and embedding techniques
  • Familiarity with agentic AI orchestration approaches and the Model Context Protocol (MCP) or rapid ability to acquire this expertise
  • Understanding of evaluation and safety frameworks for LLM systems, including reliability and responsible deployment
  • Experience with MLOps practices and CI/CD workflows
  • Architecture and design of ICT systems and design/implementation of data pipelines and knowledge retrieval systems
  • Ability to write clear technical documentation and communicate complex ideas to diverse audiences
  • Spoken and written English and commitment to learn French
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The Company
2,704 Employees
Year Founded: 1954

What We Do

CERN is an international laboratory for particle physics research, providing unique particle accelerator facilities to uncover what the universe is made of and how it works.

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