Generative AI Architect & Agentic Solutions Leader

Infosys

Paris

On-site

EUR 80,000 - 110,000

Full time

36 hours ago
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Job summary

Infosys in Paris seeks an accomplished Generative AI Consultant to lead design and implementation of innovative AI solutions for clients. You will drive requirements, architect models, and oversee deployment with a focus on measurable outcomes.

The role demands expertise across LLMs, RAG, tool orchestration, and MCP-based integrations, coupled with strong client communication. The position calls for hands-on experience with LangChain, LangGraph, LlamaIndex, and related frameworks, plus the

Qualifications

  • Strong experience in modern Generative AI techniques and foundation models.
  • Hands-on with prompt engineering, tool calling, and orchestration frameworks.

Responsibilities

  • Collaborate with client teams to elicit requirements and translate them into AI solution designs.
  • Define architecture, model selection, and data requirements for deployments.
  • Architect Generative and Agentic AI solutions with MCP integrations and RAG strategies.
  • Define measurable success metrics with clients and ensure delivery alignment.
  • Provide guidance to internal teams during implementation and integration.
  • Monitor performance and recommend improvements for deployed models.

Skills

Generative AI
Agentic AI
MCP Interoperability
RAG Knowledge
NLP Transformers
Cloud Platforms
LLMOps
Solution Design
Communication Skills

Tools

LangChain
LangGraph
LlamaIndex
Semantic Kernel
Haystack
OpenAI Agents SDK
GPT/Claude/Gemini

Job description

Infosys in Paris seeks an accomplished Generative AI Consultant to lead design and implementation of innovative AI solutions for clients. You will drive requirements, architect models, and oversee deployment with a focus on measurable outcomes.

The role demands expertise across LLMs, RAG, tool orchestration, and MCP-based integrations, coupled with strong client communication. The position calls for hands-on experience with LangChain, LangGraph, LlamaIndex, and related frameworks, plus the

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