IO0063 AI Engineer - IT Solutions Officer

IO0063 AI Engineer - IT Solutions Officer

ITER Organization

Location: France

Application deadline: 23 Aug 2026

Department: Science & Integration Department

Division / Program: Central Integration Division

Section / Project: IT Project Tools Section

Job Grade: P3/P4

Language Requirements: Fluent in English (written & spoken)

Contract Duration: Initial employment contract up to five years with possibility for extension

Overview

The IT Solutions Officer, AI will play a crucial role in shaping the vision and strategy of ITER’s AI journey while staying hands‑on in delivery. Responsibilities include:

• Designing scalable architecture and establishing best practices for advanced AI applications that solve real‑world business problems for thousands of ITER users.
• Coordinating the delivery of AI initiatives and designing scalable architectures across the organization.
• Providing user support and ensuring suitable IT systems/services and delivering impactful AI‑driven solutions to address complex challenges.

Key Duties and Responsibilities

Primary Responsibilities

• Coordinate contracts and external partnerships and in‑house delivery of AI initiatives across ITER, aligning them with the organization’s business goals and priorities.
• Establish processes and best practices for AI development, emphasizing code quality, maintainability, security, and compliance across the full project lifecycle.
• Architect, build and ship AI solutions in production across various domains (design, engineering, construction, admin, etc.) and guide the technical architecture decisions.
• Support the full adoption journey from discovery and initial evaluation through deployment and ongoing improvement.
• Work with a team of AI engineers, fostering an agile delivery culture applying best practice in AI‑assisted development.
• Interface with other IT teams to integrate AI products into IO project tools (IDM, Engineering Database, SAP, OPC, CAD tools, etc.).
• Coordinate with senior management and business stakeholders to translate priorities into a coherent AI architecture and delivery roadmap.

Additional Responsibilities

• Stay current with the latest AI trends in implementation patterns and AI product development stacks.
• Actively promote AI literacy and adoption by disseminating best practices and supporting teams in integrating AI into their day‑to‑day work.
• Undertake other duties broadly in line with the above responsibilities.

Experience & Competencies

Essential

• Extensive experience designing, developing, and deploying production‑ready Generative AI and Machine Learning (ML) systems in fast‑paced environments.
• Experience in designing, developing, and deploying production‑ready Generative AI and ML systems, including LLM‑based applications and RAG pipelines, and scaling prototypes into secure, maintainable enterprise‑grade solutions.
• Architecture and technical leadership: ability to define AI architectures, establish development processes, best practices, and guide the technical decisions of a delivery team.
• Hands‑on experience architecting multi‑agent systems using latest frameworks with a deep understanding of emerging trends.
• Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP, and implementing MLOps practices for model lifecycle management.
• Excellent Python programming skills.
• Strong communication skills with the ability to build relationships and explain technical concepts to diverse stakeholders.

Desirable

• Experience coordinating and guiding activities of small teams of technicians and engineers.
• Experience fine‑tuning and evaluating foundation models for performance and safety.
• Experience supporting AI adoption, user training, digital transformation consulting and change management.
• Experience in AI applications across design, engineering, or construction fields.
• Organizational savvy manoeuvring comfortably through complex policy, process, and people‑related dynamics.

Qualifications

Essential

• Master’s degree or equivalent in AI/Computer Science or other relevant discipline.
• Professional experience involving similar work responsibilities and/or additional training certificates in relevant domains may substitute for the required education degree(s).

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