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Senior AI Developer — defense systems | Thales | Argenteuil · Ganloss

AI role · Open offer

Senior AI Developer — defense systems

Thales

Permanent (CDI)
Full-time
Senior
Critical systems AI
Hybrid
6 Rue de la Redoute, 95100 Argenteuil, France · Hybrid
EUR 65k–90k/year + intéressement

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 6 Rue de la Redoute, 95100 Argenteuil, France · Hybrid
Compensation: EUR 65k–90k/year + intéressement
Experience level: Senior
Team: Critical systems AI
Benefits & perks: Mutuelle, hybrid IDF, security clearance support.
How to apply: LLM or CV for mission-critical systems with safety documentation.
Company site: www.thalesgroup.com
Listed: Jul 2, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Thales is hiring a Senior Senior AI Developer — defense systems on the Critical systems AI team (Hybrid · Argenteuil, France). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Thales designs mission-critical systems for aerospace, defense, and digital identity — with a major Île-de-France engineering presence in Argenteuil.

Senior AI Developer (hybrid Argenteuil): LLM assistants, sensor fusion, and computer vision for regulated environments with formal safety cases.

About Thales

Global defense and aerospace leader with French roots since 1893.
Argenteuil site focuses on secure communications and critical software.
AI work must meet export-control and security clearance requirements.

What you will do

Prototype copilots for operator workflows with audit trails.
Validate models against adversarial and edge-case test suites.
Document model lineage for certification reviewers.

Stack & environment

Python, PyTorch, LangChain, on-prem Kubernetes, air-gapped deploys.
Hybrid Argenteuil; French and English engineering teams.

What we look for

5+ years applied ML/LLM; defense or avionics experience valued.
Eligible to work in France; clearance process supported.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: LLM or CV for mission-critical systems with safety documentation.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, Computer Vision, and Kubernetes.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Argenteuil, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 65k–90k/year + intéressement, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

LLM or CV for mission-critical systems with safety documentation.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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