The Manager, AI & Emerging Technology Risk is a client-facing consulting leader who combines AI engineering and solution architecture with deep understanding of Risk functions
Design and implement AI/GenAI solutions for Risk use cases (e.g., risk intelligence, control testing, issue management, fraud detection, regulatory response)
Engineer secure reference architectures for AI platforms
Operationalize Responsible AI and Model Risk practices through measurable tests
Translate Risk requirements into technical control objectives and implementation details across the AI lifecycle
Map AI/GenAI risks and controls to enterprise risk management (ERM) and technology risk frameworks
Lead client workshops and design reviews to align Risk stakeholders and engineering teams
Produce high-quality client deliverables
Support engagement management and contribute to business development through proposal writing

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field (or equivalent practical experience)
5–7+ years of experience delivering production technology solutions, with meaningful depth in AI/ML or GenAI engineering and experience in risk, compliance, audit, or other regulated environments
Job relevant certification (i.e. Azure, Aws, or AI certifications)
Hands-on experience with modern ML/GenAI stacks (e.g., Python, model development frameworks, embedding/RAG workflows)
Strong software engineering fundamentals: APIs and service design, data pipelines, testing, code review, CI/CD, and operating production services

Manager, Technology Risk Consulting – AI and Emerging Technology Risk

Key skills