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AI role · Open offer

Senior AI Developer — data governance copilots

Collibra

Full-time
Senior
Data intelligence AI
Hybrid
Rue Belliard 37, 1040 Brussels, Belgium · Hybrid
EUR 75k–105k/year + equity

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: Full-time
Workplace: Hybrid
Location: Rue Belliard 37, 1040 Brussels, Belgium · Hybrid
Compensation: EUR 75k–105k/year + equity
Experience level: Senior
Team: Data intelligence AI
Benefits & perks: RSUs, hybrid Brussels EU quarter.
How to apply: RAG over metadata catalogs with enterprise ACL enforcement.
Company site: www.collibra.com
Listed: Jul 9, 2026
Updated: Aug 3, 2026

About this role

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

Collibra is hiring a Senior Senior AI Developer — data governance copilots on the Data intelligence AI team (Hybrid · Brussels, Belgium). 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.

Collibra is the data governance platform trusted by global enterprises — metadata intelligence and AI copilots from Brussels EU quarter.

Senior AI Developer (hybrid Brussels): RAG over data catalogs, policy assistants, and lineage NLP with enterprise ACLs.

About Collibra

Belgian unicorn HQ near Rue Belliard; strong EU customer base.
AI must respect column-level security and GDPR.
Product-led culture with design partners among Fortune 500.

What you will do

Build copilots that query metadata without leaking restricted fields.
Evaluate answer faithfulness on synthetic governance scenarios.
Integrate with Snowflake, Databricks, and cloud catalogs.

Stack & environment

Python, LangChain, PyTorch, PostgreSQL, Kubernetes.
Hybrid Brussels; English primary; French/Dutch a plus.

What we look for

5+ years LLM/RAG in enterprise data or SaaS.
Eligible to work in Belgium/EU.

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.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

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: RAG over metadata catalogs with enterprise ACL enforcement.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, 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 · Brussels, Belgium)—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 75k–105k/year + equity, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

RAG over metadata catalogs with enterprise ACL enforcement.

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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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