Mohamed Saadi — Paris, France

Enterprise AI & Agentic Systems Architect

Helping large organizations industrialize AI: Data Platforms → MLOps → GenAI → Agentic AI.

Ten years building production AI systems for large organizations. Built and operated enterprise AI platforms serving 10+ teams, 100+ daily ML workloads and mission-critical business operations.

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Experience with

EDFSanofiLIP6 / CNRS

Key Results

9× Faster AI delivery

30% Infrastructure cost reduction

99.9% Platform availability

100+ Daily ML workloads

10+ AI teams supported

10 yrs Production AI systems

Core Expertise

• Enterprise AI Architecture

• Agentic AI Systems

• LLMOps & GenAI Platforms

• MLOps at Scale

• Cloud Native Platforms

• AI Platform Governance

Why Organizations Engage

✓ Built enterprise AI platforms from scratch, not inherited ones
✓ Bridges research-grade AI concepts and production-ready systems
✓ Deep architecture and governance experience across 10+ teams
✓ Full coverage: Data, Cloud Native, MLOps, LLMOps, Agentic AI
✓ Proven delivery in highly regulated industrial environments
✓ Aligns executives, architects and engineering teams

Selected Achievements

• Built an enterprise AI/ML platform from scratch serving 10+ data science teams
• Reduced AI application delivery time by a factor of 9
• Reduced infrastructure costs by 30% through FinOps governance
• Operated platforms running 100+ ML workloads per day at 99.9% availability
• Designed production LLM and agentic AI systems with human-in-the-loop controls
• Introduced MLOps and LLMOps practices at enterprise scale
• Led AI platform governance and architecture review across business units

Architecture Approach

The Infrastructure Path to Enterprise AI

Cloud Native → Data Platform → MLOps → Agentic AI

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Experience

Full detail →

EDF (via NeoStair EURL)

Senior Solution Architect — AI & GenAI Platform

Oct2021 - Current
EDF (via NeoStair EURL)

Solution Architect — Cloud Native AI/ML Platform

Oct2019 - Sep2021
EDF

Big Data Engineer — Data Platform & Decision Systems

Oct2017 - Sep2019
Sanofi

Machine Learning Engineer — Supply Chain Forecasting

Feb2017 - Aug2017
LIP6 — CNRS Research Laboratory

Research Engineer — Distributed Multi-Agent Systems

Nov2015 - Jul2016

Research & Publications

LIP6 / CNRS Paris — 2016

A Multi-Agent Negotiation Approach for Supply Chain Management

188 pages · Distributed multi-agent coordination

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Contact

Available for senior engagements — AI platform architecture, agentic systems, LLMOps and MLOps. Paris region and remote, via NeoStair EURL.