Business Analyst IA - Freelance (H/F)

France | Nov. 5, 2026

Report as Closed

Company: Collective.work

Country: France

Type: Onsite

Employment: Full-time

Description: Daily rate (TJM): 520 CONTEXT OF THE MISSION - The AI team is responsible for the transversal generative AI platform. - It develops and operates the shared services necessary for AI uses: - Industrialization of RAG patterns, agents and AI pipelines - LLM gateway / provider management (Mistral, Azure OpenAI, Bedrock.) - Key and access management (AI Products) - Monitoring and observability (Langfuse, costs, uses) - The team works in strong interaction with MTA, IALab, GED, RPA, security and architecture. - Participation in Agile SAFe ceremonies: daily, PI Planning, backlog refinement, System Demo. OBJECTIVES AND DELIVERABLES - Frame and structure the needs around the AI platform (IAP) and its capabilities (LLM, RAG, agents, gateway). - Collect and formalize the needs of the consumer teams (MTA, professions, IT) on: - Exposure of AI services (API, portal, self-service) - Uses of LLM (chat, agents, automation) - Needs for RAG, document ingestion and pipelines - Translate needs into functional and usage specifications: - user stories, platform product backlog - AI use cases, usage guidelines - service specifications (API, platform features) - Contribute to the definition of standards for use of the AI platform: - best practices prompting, RAG, agents - data models and integration patterns - Participate in the implementation of the AI governance framework: - compliance (AI Charter, security, AI Act) - management of access and usage - monitoring of risks and sensitive data - Manage quality of service and adoption: - definition of KPIs (usage, cost, latency, quality) - monitoring the adoption of IAP services - contribution to documentation and onboarding of teams - Support teams projects in their use of the platform: - support in framing use cases - help in structuring AI pipelines - interface between technical and business teams - Strong capacity for platform and transversal product framing - Very good level in gathering needs and running complex workshops (multi-teams, IT & professions) - Understanding of generative AI concepts: - LLM, RAG, agents, prompting, embeddings - Platform product vision: - API, self-service, governance, monitoring, SLA- Ability to formalize technical subjects into clear deliverables:- functional specifications- use cases- usage documentation- Mastery of Agile / SAFe environments (Jira, Confluence)- Sense of pedagogy, popularization and support for change- Ability to navigate between:- technical issues (platform, architecture)- business issues (use cases)- compliance/security issues Expected skills- RAG (ingestion pipelines, vectorization, search) - Vector stores (FAISS, Qdrant, Milvus, Elastic Search) - APIs and microservices (FastAPI or equivalent) - Cloud & infra (Azure, Kubernetes, AWS) - Langfuse (observability, prompt monitoring, costs) - Agile tools (Jira, Confluence) - Agile tools (Jira, Confluence) - IS integration (SharePoint, EDM, systems internal)- LLM (Mistral, GPT, Claude)- LiteLLM / LLM Gateway

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