Business Analyst 6+ years exp. Generative AI RAG LLM Marignane

Project overview

Business Analyst 6+ years exp. Generative AI RAG LLM Marignane ASAP

01 CONTEXT AND PURPOSE

As part of the client's considerations for industrializing its Tech Data processes, the AI Business Analyst supports the identification, scoping, and prioritization of generative artificial intelligence use cases. They will act as an interface between business, architecture, data, and development teams, with a particular focus on the Mistral AI ecosystem.

The mission aims to transform operational needs into useful, evaluable solutions compatible with aeronautical technical documentation, security, and traceability constraints.

MAIN MISSIONS

03 ESSENTIAL SKILLS

04 APPRECIATED BUSINESS KNOWLEDGE

05 EXPECTED DELIVERABLES

06 PROFILE AND POSITIONING

Higher education in IT, engineering, data, or digital transformation. Significant experience in Business Analysis and concrete participation in AI/GenAI projects. Ability to simplify technical issues, challenge use cases, and work with multidisciplinary international teams.

Positioning: functional scoping and value piloting role. Detailed design of architectures, development, and model operation fall under dedicated technical teams.

Profile sought

ESSENTIAL SKILLS

Work environment

PROFILE AND POSITIONING

• Map Tech Data processes and identify repetitive documentary or analytical tasks that can be assisted by AI.
• Lead business workshops; formalize needs, use cases, user journeys, functional requirements, and acceptance criteria.
• Qualify and prioritize opportunities based on business value, data quality, risks, feasibility, and ROI.
• Collaborate with architects and developers on Mistral LLM solutions, RAG, and integrations with existing tools.
• Define test sets and quality indicators: relevance, source fidelity, errors, latency, cost, and adoption.
• Monitor POC/MVP, organize user validations, and contribute to the industrialization roadmap.
• Business Analysis: workshops, BPMN, requirements, user stories, backlog, functional testing, and Agile methods.
• Generative AI: understanding of LLMs, model limitations, prompt engineering, and evaluation methods.
• Mistral AI: knowledge of models, their use via API or deployed environments, and professional use cases.
• RAG: understanding of document retrieval, embeddings, indexing, and source citation.
• Technical Culture: REST/JSON APIs, SQL, and basic Python; ability to communicate with architecture teams.
• Security and Governance: confidentiality, access rights, traceability, sensitive data management, and export control requirements.
• Aeronautical technical documentation, maintenance manuals, and content structuring (ATA, XML/HTML).
• Helicopter environment, maintenance/MRO, configuration management, and documentary compliance requirements.
• Experience in automating documentary workflows, semantic search, and knowledge management.
• Process mapping and prioritized catalog of AI use cases.
• Scoping documents, functional specifications, backlog, and acceptance criteria.
• Evaluation protocols, user test summaries, and value indicators.
• Deployment recommendations and industrialization roadmap.

Project details

• Start: ASAP
• Duration: 6 mois renouvelable
• Remote: hybrid
• Location: Marignane, Provence-Alpes-Côte d'Azur, FR
• Rate: 50-50 EUR/h
• Languages: French