23.03.2026
AI Governance, Risk, and Compliance specialist
Hands-on specialist to drive the AI risk and compliance agenda at global industrial manufacturing company
We are looking for an experienced AI GRC Specialist for our globally operating industrial client to ensure that the organization’s use of artificial intelligence is secure, compliant, and responsibly governed—while enabling scalable AI adoption.
Start
20.04.2026
Duration
5mo
Location
Remote
Allocation
80%
In this role, you will act as a bridge between AI development, security, architecture, data privacy, and legal functions. You will help define and embed governance, risk, and compliance practices into AI solutions, ensuring safe and compliant-by-design AI usage across the organization.
Responsibilities
- Develop and maintain AI guidelines, policies, and technical guardrails for safe AI development and use
- Perform AI risk assessments and triage for new use cases and solutions
- Identify and evaluate risks related to AI systems (e.g., data leakage, misuse, third-party dependencies, governance gaps)
- Collaborate with Security, Architecture, Data Privacy, and Legal to embed secure and compliant AI practices
- Support AI vendor and third-party assessments as part of procurement and evaluation processes
- Design and deliver training and guidance on responsible and secure AI usage
Requirements
- Strong understanding of AI technologies, including GenAI and AI agents, and how they are built and deployed
- Solid knowledge of information security principles (secure architectures, access control, risk management)
- Familiarity with regulatory frameworks such as EU AI Act, GDPR, ISO, and NIST
- Experience translating regulatory and risk requirements into practical technical guidance
- Proven experience facilitating risk assessments and cross-functional collaboration
- Excellent communication skills and ability to work across technical, security, legal, and business stakeholders
Nice to have
- Background in information security, AI/ML engineering, or enterprise architecture
- Experience with cloud-based or third-party AI platforms
