Business Analyst AI

Project overview

Mission Context

Objectives and Deliverables

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• The AI team is responsible for the cross-functional 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, usage)
• The team works in close interaction with MTA, IALab, GED, RPA, security, and architecture.
• Participation in SAFe Agile ceremonies: daily, PI Planning, backlog refinement, System Demo.
• Frame and structure needs around the AI platform (IAP) and its capabilities (LLM, RAG,
• Gather and formalize the needs of consuming teams (MTA, business, IT) regarding:
• Exposure of AI services (API, portal, self-service)
• LLM uses (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 defining the AI platform usage standards:
• best practices for prompting, RAG, agents
• data models and integration patterns
• Participate in establishing the AI governance framework:
• compliance (AI Charter, security, AI Act)
• access and usage management
• monitoring of risks and sensitive data
• Drive service quality and adoption:
• KPI definition (usage, cost, latency, quality)
• monitoring of IAP service adoption
• contribution to documentation and team onboarding
• Support project teams in their use of the platform:
• support for framing use cases
• assistance in structuring AI pipelines
• interface between technical and business teams
• Strong capacity for platform and cross-functional product framing
• Very good level in requirements gathering and facilitating complex workshops (multi-team, IT &
• Understanding of generative AI concepts:
• LLM, RAG, agents, prompting, embeddings
• Platform product vision:
• API, self-service, governance, monitoring, SLA
• Ability to formalize technical topics into clear deliverables:
• functional specifications
• use cases
• usage documentation
• Mastery of Agile / SAFe environments (Jira, Confluence)
• Sense of pedagogy, simplification, and change management
• Ability to navigate between:
• technical challenges (platform, architecture)
• business challenges (use cases)
• compliance/security challenges

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Rate: 65-65 EUR/h
• Languages: French