Group Data Insight and Innovation Senior Specialist

CMA CGM

Marseille

Vor Ort

EUR 90.000 - 130.000

Vollzeit

Vor 2 Tagen

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Zusammenfassung

CMA CGM in Marseille is seeking a Senior AI Platform Engineer to design, build and operate agentic AI solutions within the Group Data Department and the Agentic Factory. You will work across Python/TypeScript, CI/CD, AWS, and LLM orchestration to scale AI at Group level.

Based in Marseille, you will collaborate with engineering and design teams, implement LLMOps, ensure security and compliance, and ship production-grade AI tools for the CMA CGM ecosystem.

Qualifikationen

Master's degree in computer science or engineering.
5+ years of software development and/or DevOps experience, incl. production AI delivery.
Autonomous, delivery-minded and able to handle fast-moving topics.
Team player with product and UX sensitivity.
Strong frontend with React/TypeScript; backend with Node.js/TypeScript or Python.
Experience with LLM orchestration frameworks (LangChain, LangGraph).
Experience with LLM APIs (Mistral, OpenAI, Anthropic).
AWS, Docker and Kubernetes; CI/CD and Infrastructure as Code.
LLMOps, observability tools (logs, tracing, evaluation, cost).
Git and collaborative development practices; excellent English communication.
Experience within CMA CGM ecosystem is a plus.
Mastery of AI-assisted development tools (Cursor, Claude Code, Copilot).

Aufgaben

Design and build agentic AI solutions (agents, RAG pipelines, tools and connectors).
Deliver vibe-coded apps with AI coding agents and CI/CD, testing, security.
Define and improve the coding agent harness.
Implement core agent components: orchestration, state management, memory.
Build with Python and TypeScript; use LangChain/LangGraph; integrate LLM providers.
Contribute reusable blocks to CMA CGM AI platform.
Design and maintain CI/CD pipelines for AI solutions.
Containerize and deploy on AWS with Docker and Kubernetes.
Manage environments and Infrastructure as Code.
Apply security/compliance standards.
LLMOps: observability, tracing, cost monitoring.
Monitor reliability, performance, and costs of deployments.
Troubleshoot incidents and drive continuous improvement.
Document architectures and operational runbooks.
Collaborate with Engineering and Design Studio teams; share knowledge.

Kenntnisse

Software development

DevOps

React

TypeScript

Python

LLM orchestration

LangChain

LangGraph

APIs (LLMs)

AWS

Docker

Kubernetes

CI/CD

Infrastructure as Code

LLMOps

Git

English communication

Ausbildung

Master's degree in computer science or engineering

Tools

Docker

Kubernetes

LangChain

LangGraph

AWS

Jobbeschreibung

Job description

Mission

As part of the Group Data Department, within the Agentic Factory, you will design, build and operate the agentic AI solutions that transform how CMA CGM employees work: AI agents as well as applications built through AI-assisted development ("vibe coding") with solid engineering best practices. You will also define and monitor the coding agent harness that powers this delivery model. You will work directly with the Head of Agentic Factory and the Agentic Solutions Delivery Lead, and collaborate with the department's Engineering and Design Studio teams. Combining an AI developer profile with strong DevOps expertise, you take the Agentic Factory's AI solutions from prototype to production and keep them running reliably at Group scale. As a Group-level role, you will work hand in hand with the Group's GCCs and other entities (business lines, regions and subsidiaries) to roll out agentic AI solutions across the organization, in an international and multicultural environment.

What are you going to do?

You design and build agentic AI solutions:

Develop end-to-end agentic solutions (agents, RAG pipelines, tools and external connectors) for prioritized Group use cases
Deliver vibe-coded applications with AI coding agents, enforcing engineering best practices (testing, code review, CI/CD, security)
Define, monitor and continuously improve the coding agent harness (rules, tools, guardrails, evaluations)
Implement core agent components: orchestration, state management, conversational memory
Build with Python and TypeScript, using LLM orchestration frameworks (LangChain, LangGraph) and the APIs of the main LLM providers (Mistral, OpenAI, Anthropic)
Contribute reusable building blocks to the Group's AI platform

You industrialize and deploy:

Design and maintain CI/CD pipelines for AI solutions
Containerize and deploy workloads on AWS with Docker and Kubernetes
Manage environments and Infrastructure as Code
Apply the Group's security and compliance standards

You run and operate in production:

Implement LLMOps practices: observability, tracing and evaluation of agent quality
Monitor reliability, performance and costs of deployed solutions
Troubleshoot incidents and drive continuous improvement
Document architectures and operational runbooks

You collaborate and raise the bar:

Work with the Engineering and Design Studio teams from discovery to delivery
Contribute to platform standards and engineering best practices
Share knowledge with the team and keep a technology watch on the agentic AI ecosystem

Profile description