About the role

What you’ll do

• Serve as global subject matter expert for digital AI technologies
• Provide technical leadership across AI governance, enterprise/cloud AI, predictive/generative AI, foundation/frontier models, AI agents, and lifecycle assurance
• Translate emerging technologies, regulations, standards, and customer needs into scalable services and offerings
• Evaluate and test AI systems to identify failure modes, risks, and control gaps
• Develop standards, conformity assessment methodologies, certification programs, and assurance frameworks
• Influence customers, regulators, standards committees, industry forums, and cross-functional business leaders

What you’ll need

• Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, Computer Engineering, Information Systems, or related field; advanced degree in AI/ML/Robotics/CS/Data Science preferred
• 15+ years of technical experience in software platforms, cloud systems, AI/ML, cybersecurity, technology risk, model lifecycle, or digital assurance, including 5+ years directly with AI
• Experience translating AI governance, model risk management, and regulatory requirements into evaluation methodologies, controls, assurance frameworks, certification programs, or customer services
• Ability to evaluate and test AI systems and identify failure modes, risks, and control gaps across model performance, transparency, traceability, explainability, fairness, privacy, security, and reliability
• Working knowledge of AI evaluation/testing methodologies and of predictive/generative AI, LLMs, foundation/frontier models, RAG, AI agents, and associated governance risks
• Strong presentation, technical writing, thought leadership, stakeholder engagement, and ability to influence customers, regulators, standards committees, industry forums, and business leaders

Original job description