Senior AI Governance & Responsible AI Engineer

Capgemini; Wrocław; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Annual bonus

Private medical care

Life insurance

Training tracks on NEXT platform

Hybrid work model

Job summary

Capgemini Invent in Wroclaw is seeking a Senior AI Governance Engineer to embed Responsible AI principles and regulatory requirements into ML operating models. You will collaborate with data scientists, engineers, and governance teams to build scalable AI ecosystems and ensure traceability, logging, and model risk management.

The role focuses on governance controls, bias/robustness testing, evidence automation, and production monitoring aligned with EU AI Act.

Qualifications

• 5+ years in ML engineering or data science with production experience.
• Hands-on with MLflow and at least one cloud ML platform.
• Experience testing models/LLMs: bias, fairness, evaluation.
• Knowledge of EU AI Act and ISO/IEC 42001 is a plus.
• Fluent English; able to explain results to risk owners.

Responsibilities

• Implement AI governance controls across ML lifecycle.
• Build evaluation/tests for bias, fairness, performance, robustness.
• Automate evidence via model cards, reports, docs.
• Set up production monitoring: drift, incidents, alerts.
• Align controls with EU AI Act, ISO standards, NIST RMF.
• Integrate governance tooling with data catalog/platform.
• Collaborate with data engineers and Databricks team.
• Develop reusable assets: test suites, templates, patterns.

Skills

Python

MLflow

Databricks

Azure ML

SageMaker

Vertex AI

Fairlearn

AIF360

Evidently

LangSmith

Azure AI Content Safety

English

Tools

Databricks

Azure ML

SageMaker

Vertex AI

Job description

Capgemini Invent in Wroclaw is seeking a Senior AI Governance Engineer to embed Responsible AI principles and regulatory requirements into ML operating models. You will collaborate with data scientists, engineers, and governance teams to build scalable AI ecosystems and ensure traceability, logging, and model risk management.

The role focuses on governance controls, bias/robustness testing, evidence automation, and production monitoring aligned with EU AI Act.