Mohamed SAADI

Solution Architect - AI Platforms

Architecting the bridge between fundamental Science and Product Value.

Solution Architect with 8+ years of experience designing and implementing enterprise-scale AI platforms. Proven track record architecting scalable, production-grade AI solutions including MLOps infrastructure, GenAI integrations (LLM, RAG, Agentic AI), and cloud-native systems.

Core Competencies:

Solution Architecture: Microservices, API design, event-driven systems, distributed architecture

Cloud & Orchestration: AWS, Kubernetes, Terraform, Docker, serverless

MLOps: ML pipelines, feature store, model registry, CI/CD, monitoring

AI/GenAI Architecture: Agentic AI (SMA, neuro-symbolic AI), LLM integration, RAG, vector databases, MCP

Stack: Python, FastAPI, Kafka, Airflow, MLflow, S3, Ollama, LangChain, LangGraph, LlamaIndex

Work Experience
See all work
  • Oct2021 - Current
    EDF (via NeoStair EURL)
    Senior Solution Architect - AI/GenAI Platform
  • Oct2019 - Sep2021
    EDF (via NeoStair EURL)
    Solution Architect - AI/ML Platform
  • Oct2017 - Sep2019
    EDF
    Big Data Engineer
  • Feb2017 - Aug2017
    Sanofi
    Machine Learning Engineer - Time Series Forecasting
  • Nov2015 - Jul2016
    LIP6 (CNRS Research Laboratory)
    Research Engineer - Agentic AI & Distributed Systems
Recent projects
See all projects
Let's Connect

If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email.