Forward Deployed Engineer, Unstructured AI at Collibra

Collibra

Brussels, Belgium·12h ago

Mid LevelFull-timePythonRustAWSGCPAzureKubernetesDockerTerraformCI/CDAI

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Deployed Engineer to join Collibra’s Unstructured AI Team. This role involves shaping how organizations manage data by connecting insights and helping customers integrate Collibra's product and vision. As a Deployed Engineer, you will serve as a technical advisor and guide customers through the implementation process.

Key Responsibilities

→Own end-to-end technical delivery of Unstructured AI deployments from prototype to production.
→Build and scale full-stack systems that process and enrich large volumes of unstructured content.
→Work closely with customer and field teams to understand their needs and guide Unstructured AI integration.
→Scope work, sequence delivery, and remove blockers to ensure fast iteration cycles.
→Balance scope, speed, and quality to keep pilots moving and convert them into production rollouts.
→Codify repeatable patterns from customer projects into reusable connectors and modules.
→Feed field insights back to Product and Research teams to improve product experience.
→Keep cross-functional teams aligned through clear communication and prioritization.

Requirements

✓Shipped complex systems under ambiguity, balancing speed and precision in real customer environments.
✓Written and reviewed production-grade code across backend (Python, FastAPI).
✓Built or deployed document-processing systems and are comfortable with CI/CD, monitoring, and debugging tools.
✓2+ years of software engineering or technical deployment experience, ideally involving enterprise integrations, AI data processing, or customer-facing delivery.
✓Strong proficiency in Python (data processing, API development, and integrations).
✓Proven ability to deliver production-grade systems that process large-scale unstructured data.
✓Solid understanding of data pipelines, microservice architecture, and API design.
✓Experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform), and containerization (Docker / Kubernetes).
✓Experience with LLM-based or AI-driven enrichment models (classification, extraction, deduplication, PII detection).
✓Familiar with metadata systems, data cataloging, or document AI workflows.
✓Background in data governance, sensitive data detection, or enterprise integrations (Collibra, Databricks, Snowflake, etc.).
✓A track record of codifying repeatable deployment patterns into tools, SDKs, or frameworks.
✓Knowledge of security, compliance, and model evaluation best practices.
✓A bachelor's degree in a technical field or equivalent related working experience.
✓You must have work authorization to work in Brussels.