Business Analyst AI

Project overview

Context

Missions

Tools & Environment

Working Conditions

• 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 Agile SAFe ceremonies: daily, PI Planning, backlog refinement, System Demo.
• Frame and structure needs around the AI platform (IAP) and its capabilities (LLM, RAG, agents, gateway).
• 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's usage standards:
• Prompting best practices, 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
• 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 tracking, costs)
• Agile tools (Jira, Confluence)
• IT integration (SharePoint, GED, internal systems)
• LLM (Mistral, GPT, Claude)
• LiteLLM / LLM Gateway
• Agile / SAFe mode of work
• Multi-team collaboration (IT & business)
• Strong interaction with technical, business, security, and architecture teams

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Rate: 63-63 EUR/h
• Languages: French