Business Analyst Generative AI – LLM Platform, RAG & AI Agents

Project overview

As part of strengthening its AI team, our client is looking for a Business Analyst specializing in generative AI. This team is responsible for a cross-functional platform of shared services covering RAG architectures, AI agents, pipelines, LLM provider management (Mistral, Azure OpenAI, Bedrock), access, and observability. The mission takes place in an Agile SAFe environment, in collaboration with business, IT, security, and architecture teams.

Requirements Gathering and Scoping

Specifications and Product Backlog

AI Standards and Governance

Performance Monitoring

Agile Support and Ceremonies

Expected Deliverables

Profile Sought

Experience: minimum 5 years, with proven experience in Business Analysis and scoping technical products or platforms.

Expertise and Skills Expected:

Interpersonal Qualities: ability to collaborate with business, IT, architecture, and security teams; excellent communication, teaching, and change management skills.

Work Environment

The mission takes place at a client in the B2B services sector, within the AI team responsible for a cross-functional platform of shared services. The context is cross-functional: you will collaborate with business, IT, security, and architecture teams.

Technical and Methodological Environment:

Modalities:

• Gather and scope the needs of the platform's user teams.
• Lead workshops with business and technical teams.
• Formalize needs related to LLMs, RAG, AI agents, APIs, and self-service.
• Write functional specifications, user stories, and use cases.
• Structure and maintain the platform's product backlog.
• Document use cases and API services.
• Contribute to defining usage standards: prompting, RAG, agents, and integration.
• Participate in AI governance: security, access management, sensitive data, and AI Act compliance.
• Produce governance and compliance documentation.
• Define and track performance indicators: usage, costs, latency, and quality.
• Implement monitoring dashboards.
• Support project teams in scoping and adopting AI services.
• Produce guidelines, best practices, and onboarding materials.
• Participate in Agile SAFe ceremonies: daily, PI Planning, backlog refinement, and System Demo.
• Functional specifications and user stories.
• AI platform product backlog.
• Documentation of use cases and API services.
• Guidelines and best practices for using AI services.
• Governance and compliance documentation.
• Performance dashboards and indicators.
• Onboarding and team support materials.
• Excellent mastery of requirements gathering and leading cross-functional workshops.
• Good understanding of generative AI concepts: LLM, RAG, agents, prompting, and embeddings.
• Knowledge of RAG architectures (ingestion pipelines, vectorization, search) and vector stores (FAISS, Qdrant, Milvus, Elasticsearch).
• Knowledge of cloud and infrastructure environments (Azure, Kubernetes, AWS).
• Knowledge of AI platforms: APIs, self-service, gateway, monitoring, and SLAs.
• Ability to write functional specifications, user stories, and usage documentation.
• Sensitivity to AI governance, security, compliance, and AI Act issues.
• Mastery of Agile SAFe methods and Jira and Confluence tools.
• LLM Providers: Mistral, Azure OpenAI, Bedrock.
• RAG architectures, AI agents, pipelines, observability.
• Vector stores: FAISS, Qdrant, Milvus, Elasticsearch.
• Cloud and infrastructure: Azure, Kubernetes, AWS.
• Agile SAFe method; Jira and Confluence tools.
• Regulatory framework: AI Act.
• Location: Paris and the Paris region.
• Remote work: negotiable, to be discussed during interviews.
• Pace: full-time (5 days per week).
• Start date: November 9, 2026.
• Duration: 6 months.

Project details

• Start: 08/11/2026
• Duration: 6 mois renouvelable
• Remote: hybrid
• Location: Paris, France, FR
• Rate: 60-73 EUR/h
• Languages: French