Gen AI Architect - Principal Consultant

Infosys; Paris; Sur place; EUR 140 000 - 210 000; Plein temps

Résumé du poste

Infosys in Paris is seeking a Gen AI Architect/Principal Consultant to lead our Generative AI Technologies team. You will shape the strategy, select models and tools, and collaborate with cross‑functional partners to deliver enterprise‑scale AI solutions.

The role demands deep expertise in LLMs, RAG, MCP, and agentic design, with a focus on scalable, secure, and cost‑efficient architectures for client success.

Qualifications

• Extensive experience in Generative AI and foundation models.
• Proven ability to design enterprise-scale AI architectures.
• Experience with agentic design patterns and multi-agent systems.
• Knowledge of MCP and secure interoperability standards.
• Experience delivering production-grade Gen AI solutions.

Responsabilités

• Lead development of Generative and Agentic AI technology roadmap.
• Evaluate models, frameworks, and MCP integration.
• Design scalable end-to-end architectures for Gen AI solutions.
• Define reusable patterns for agent orchestration and MCP-based integration.
• Collaborate with data scientists and engineers to deploy production solutions.
• Evaluate performance, optimize speed, accuracy, and cost.
• Engage with customers to define requirements and SLAs.
• Mentor junior team members and share best practices.

Connaissances

Gen AI Expertise

Agentic AI

MCP & Interoperability

RAG & Knowledge Architecture

LLMOps & Responsible AI

Machine Learning

Python & ML Frameworks

Cloud AI Platforms

Architecture Design

Formation

Bachelor's degree in CS or related field

Outils

LangChain

LangGraph

LlamaIndex

Semantic Kernel

LangSmith/LangFuse

Pinecone

Weaviate

Chroma

FAISS

Description du poste

Infosys in Paris is seeking a Gen AI Architect/Principal Consultant to lead our Generative AI Technologies team. You will shape the strategy, select models and tools, and collaborate with cross‑functional partners to deliver enterprise‑scale AI solutions.

The role demands deep expertise in LLMs, RAG, MCP, and agentic design, with a focus on scalable, secure, and cost‑efficient architectures for client success.