Vacancies
AI Risk
AI Impact Assessment
AI Governance
Role Introduction
Are you experienced in understanding how AI systems work, identifying the risks that arise from their design, data, models, deployment and use, and translating these risks into practical assessment and mitigation approaches? Do you have a strong background in hazard, accuracy and safety evaluations for software?
At YAGHMA B.V., we are looking for an AI Risk Assessment Specialist to strengthen our work on AI impact assessment, governance, and compliance across both research and industrial projects.
In this role, you will contribute with a deep understanding of both how AI systems operate and how risk assessment works in practice, and how these can be combined to develop meaningful AI risk and impact assessment approaches across sectors such as healthcare, manufacturing, energy, mobility, and public services. You will work closely with our team to develop and apply practical, structured, and scalable AI risk and impact assessment methodologies, drawing on established risk management approaches and the characteristics of AI systems, and supporting both our research activities and our platform, SurikaS.
Company Overview
At YAGHMA, we assess the non-financial and non-technical impacts of new technologies to help our clients and partners create positive societal impact. We actively participate in European and international research projects and collaborate with public and private organisations working at the forefront of AI and digitalisation.
Responsibilities
AI Risk Assessment & Methodology Development
Contribute to the development and refinement of AI risk and impact assessment frameworks, drawing on established risk management, governance, and compliance practices;
Translate real-world risk assessment processes into AI-specific assessment methodologies, covering operational, ethical, social, governance, and regulatory risks, within both research projects and applied use cases;
Analyse AI systems and use cases to identify risks arising from their technical characteristics, data, model behaviour, system architecture, deployment environment, and interaction with users;
Develop structured AI risk scenarios, including risk sources, affected stakeholders, potential impacts, likelihood and severity considerations, and appropriate mitigation measures;
Examine issues such as model errors, robustness, bias, data quality, explainability, automation risks, human oversight, misuse, and unintended system behaviour;
Work with software developers, AI specialists, and domain experts to understand system functionality and translate technical characteristics into structured risk and impact assessments;
Extrapolate risks identified in specific projects to develop sector-wide applicable risk maps across ethical, social, governance, and regulatory dimensions;
Contribute to aligning assessment approaches with emerging AI governance and regulatory requirements.
Assessment & Advisory Work
Perform risk and impact assessments of AI systems using qualitative andquantitative methods;
Analyse technical, operational, ethical, social, governance, and compliance risks across different stages of the AI lifecycle;
Support assessments in applied contexts, including client-facing and collaborative research environments;
Monitor and evaluate risks and impacts of AI systems over time..
Reporting & Stakeholder Engagement
Prepare clear, well-structured reports on AI risks and impacts for diverse audiences, including project partners, clients, and policymakers;
Engage with multidisciplinary and international stakeholders, translating complex risk concepts into actionable insights;
Support workshops, discussions, and review processes related to AI governance and risk mitigation.
Research & Knowledge Development
Stay up to date with developments in AI systems, AI risk and impact assessment, responsible AI, risk management, governance, and relevant regulation;
Contribute to literature reviews and background research related to AI risk, impact assessment, and monitoring;
Support the integration of research insights into YAGHMA’s tools, frameworks, and platform development.
Profile We Are Looking For
We are looking for a professional who combines strong risk assessment expertise with a solid understanding of how AI systems work, including their data, models, outputs, deployment context, and potential failure modes.
Required Qualifications
A master’s degree (or higher) in a relevant field such as artificial intelligence, data science, computer science, engineering, AI risk, technology risk, responsible AI, or a closely related field;
At least 6 years of professional experience or 4 years of research experience plus 2 years professional experience in risk assessment, AI/digital technology assessment, responsible AI, technology risk, or related roles, including demonstrated experience working with AI or complex digital systems;
Demonstrated ability to understand and critically analyse AI systems, including their data, models, outputs, deployment context, dependencies, and potential failure modes;
Demonstrated experience developing or applying structured risk and impact assessment frameworks to AI, digital, or other complex technology systems;
Strong analytical and conceptual skills, with the ability to translate abstract requirements into practical assessment approaches;
Excellent written and spoken English.
Desirable Qualifications
Familiarity with ethical, social, legal, and governance dimensions of AI systems;
Experience with AI-specific regulatory, compliance, governance, or assurance frameworks, such as the EU AI Act, AI management systems, internal AI controls, or AI audits;
Experience with assessing AI systems against ISO/IEC 42001:2023;
Experience in European or international collaborative projects is an asset.
Personal Attributes
Structured, critical thinker with a pragmatic mindset;
Comfortable working in multidisciplinary and international teams;
Curious, reflective, and motivated to improve how AI risks are understood and managed in practice;
Able to balance methodological rigor with real-world applicability.
What We Offer
A meaningful role at the intersection of AI governance, risk assessment, and societal impact;
A collaborative, international, and intellectually stimulating working environment;
Competitive salary based on experience and qualifications;
Opportunities to contribute to European research projects and applied AI governance work; • Possibility to travel within Europe occasionally;
Flexible position (60–100%), depending on availability and profile.
Application Instructions
The deadline to apply is 6th of October 2026 18.00 CEST. Please send your application (cover letter plus curriculum vitae) in English to the following email address: jobs@yaghma.nl
