Senior AI Governance Engineer

Quick Facts

• Role: Senior AI Governance Engineer

Description

You will help organizations build trusted, scalable, and compliant AI ecosystems by embedding Responsible AI principles and regulatory requirements into AI and machine learning operating models. The work focuses on implementing AI governance controls across the ML lifecycle, evaluating and testing models (including LLMs/agents), automating evidence generation, and setting up production monitoring. You will also map technical controls to the EU AI Act (Articles 9–15), ISO/IEC 42001, and NIST AI RMF.

Responsibilities

• Implement AI governance controls in the ML lifecycle (model registry, approvals, versioning, lineage, access, logging, and traceability)

• Build and run evaluation and testing (fairness/bias, performance/robustness, adversarial/red-team testing for LLM and agentic applications, guardrails/content safety)

• Automate evidence generation (model cards, evaluation reports, data sheets, technical documentation from pipelines)

• Set up production monitoring (drift, performance, incident detection, alerting)

• Map technical controls to the EU AI Act, ISO/IEC 42001, and NIST AI RMF

• Implement AI inventory and governance tooling and integrate with client data catalog/platform

• Run governance on the same platform as the data (with data engineers and the Databricks team)

• Build reusable assets (test suites, evaluation templates, control-as-code patterns)

Requirements

• 5+ years as a machine learning engineer, MLOps engineer, or data scientist with production experience; strong Python

• Hands-on experience with MLflow (or a comparable model lifecycle tool)

• Experience with at least one cloud ML platform: Databricks, Azure ML, SageMaker, or Vertex AI

• Experience testing and evaluating models and LLM applications, including fairness/bias libraries and evaluation/monitoring tools

• Understanding of EU AI Act and ISO/IEC 42001 is a plus

• Ability to explain test results to non-technical risk owners; fluent English

• Experience in financial services, energy, pharma, or public sector is a plus

Benefits

• Yearly financial bonus

• Private medical care with Medicover (including optional packages such as dental, senior care, oncology)

• Life insurance and access to NAIS benefit platform

• Access to 70+ training tracks and certification opportunities via the NEXT platform

• Hybrid working model with home-office package (laptop, monitor, chair) after onboarding