Provide technical leadership in assessing the architecture, security requirements/controls, roadmaps, and reusable patterns for AI/ML system design and deployments (including Agentic AI frameworks), while providing oversight and effective challenge over the end-to-end AI/ML lifecycle
Evaluate proposed and approved AI/ML technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities
Develop and maintain AI/ML risk guidance to ensure the safe adoption of emerging technologies, including governance for agentic AI components, establishing secure data/tool interaction models and how to maintain secure operational boundaries
Evaluate the dynamic behavior of AI systems and oversee the development of key continuous monitoring controls and testing, ensuring that non-deterministic outputs and autonomous actions remain within risk appetite
Define requirements for AI observability, focusing on the traceability of autonomous decisions and comprehensive system audit trails
Mentor junior risk associates to bring them up to speed on AI/ML architecture and risks, including Generative AI, AI Agents, and Agentic AI systems
Build and maintain relationships with technical leaders, engineers, architects, and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risks are well communicated and understood by key stakeholders
Demonstrate enthusiasm for keeping current with AI/ML trends, actively experimenting with and learning new technologies, engaging in both internal and external technology communities, and providing mentorship to colleagues within the risk management and engineering sectors
Demonstrate strong analytical, problem-solving, and decision-making skills
Define, structure and plan work independently
Translate complex ideas, technology, and programs into language executives can relate to and perform as a key influencer on technical decisions that affect the AI/ML platforms and systems
Draft and communicate independent reports for broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers
Coordinate program-related activities and deliverables to ensure effective collaboration within the team and across stakeholder groups.

Requirements

Bachelor's degree or military experience
At least four years of experience in Technology Management or Cyber Risk Management
At least one year of experience architecting, designing, developing, integrating, delivering, supporting or assessing complex AI systems
2+ years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud)
Master's degree in Computer Science, Computer Engineering, or relevant technical field
Experience assessing GenAI or LLM-Powered application architectures in production, including security best practices for Generative AI development and deployments
Experience drafting and communicating reports or analytic assessments for executives
Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus
Experience with identifying and communicating key risks related to AI/ML implementations and architectures
Experience with risk analysis and reports that describe the risk implications to executives
Ability to manage multiple high-visibility and high-impact projects while maintaining superior results
Familiarity with AI controls and control frameworks (NIST AI Risk Management Framework, ISO 42001, OWASP Top 10 for LLM, MITRE ATLAS)
Prior experience working in financial services or other highly-regulated sectors

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML system designAgentic AI frameworksAI observabilityGenerative AIAI Agentscloud platformsrisk analysissecurity best practicesscalable AI solutionscomplex AI systems

Soft Skills

technical leadershipanalytical skillsproblem-solvingdecision-makingcommunicationinfluencingmentoringrelationship buildingindependent workcollaboration