AI Assurance Lead
7 days ago
About the Company Thales is a global leader in technology solutions for critical domains, including aerospace, defence, transport, and digital security. We are committed to responsible AI development and deployment in all our solutions, especially within cortAIx – Thales’ AI accelerator.
As the AI Assurance Lead, you will champion the design, implementation, and continuous improvement of AI assurance practices across Thales UK’s AI and machine learning projects. You will ensure that the AI solutions developed and deployed within cortAIx adhere to high standards of ethics, safety, reliability, and legal compliance, supporting the business in delivering trusted, robust AI-enabled systems. You’ll act as a key partner to the Chief AI Officer, advising on assurance strategies for both legacy and new systems.
Develop and Implement AI Assurance Frameworks: Create and maintain comprehensive assurance frameworks for AI systems, ensuring alignment with internal and external standards (e.g. Governance and Risk Management: Lead AI risk assessments and compliance checks, identifying and mitigating risks related to safety, ethics, data privacy, robustness, and explainability.
Stakeholder Engagement: Collaborate with engineering, product management, legal, and operational teams to ensure AI assurance requirements are captured and met throughout project lifecycles.
Audit and Review: Manage independent assurance audits, drive continuous improvement through lessons learned, and report key findings and recommendations to executive leadership.
Training and Awareness: Develop and deliver AI assurance training, promoting a culture of responsible innovation throughout Thales UK’s AI community.
Represent Thales UK in relevant industry forums, regulatory engagements, and standardisation activities related to AI assurance and trustworthiness.
Relevant degree (e.g. computer science, engineering, mathematics, information security); Proven experience in AI/ML assurance, validation, governance or compliance within highly regulated or safety-critical domains.
Deep understanding of AI/ML technologies and their risk landscape (bias, explainability, robustness, etc).
Sound knowledge of national/international AI assurance standards and regulatory frameworks.
Demonstrable expertise in risk management, audit, and quality assurance methodologies.
Commitment to continuous professional development.
Security Clearance Requirement:
This role requires Security Clearance (SC). Please visit the UKSV website for further guidance.
In some circumstances, a minimum of 3 years’ residence in the UK over the last 5 years may be accepted, with additional overseas checks.
With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment, if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles.
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