AI Security Architect

Duties

• Create deliverables that illustrate how to strategically move the business forward.
• Define and maintain AI security reference architectures, design patterns, and standards covering data ingestion, model training, deployment, inference, and monitoring.
• Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements.
• Ensure secure use of generative AI, large language models (LLMs), and third-party AI services through policy, technical controls, and architectural review.
• Enhance Security Posture
• Drive greater usage of AI within security team to improve posture and operations.
• Enhance new ML/AI use cases to include AgenticAI and drive to execution within security and cloud operations.
• Threat Modeling and Risk Management
• Conduct AI-specific threat modeling and risk assessments, including risks related to data poisoning, adversarial attacks, model theft, prompt injection, and unauthorized model usage.
• Define mitigations and compensating controls for identified risks across cloud, application, API, and data layers.
• Partner with detection and response teams to design monitoring and logging for AI systems.
• Secure Design and Implementation
• Engage key business stakeholders to facilitate both strategy and innovation planning.
• Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements.
• Design controls for secure data pipelines, secure model storage, controlled model access, and protected inference endpoints.
• Guide development teams on secure coding, API security, identity and access management, and secrets management for AI workloads.
• Compliance, Privacy, and Responsible AI
• Collaborate with legal, privacy, and compliance teams to ensure AI solutions meet regulatory and internal policy obligations.
• Support audits, risk reviews, and control assessments related to AI systems.
• Contribute to responsible AI practices by integrating security, privacy, and risk considerations into enterprise AI standards.

Knowledge & Experience

• Bachelor's degree in business, computer science, information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.
• 7+ years of progressive experience as an architect, with at least 3 years experience in artificial intelligence and generative AI.
• 5+ years of business or IT experience with a direct responsibility for strategy formulation and/or translation, business analytics, and program management, application development, middleware, database management or operations.

Skills

• Expert level experience in one or more of the following areas: strategic planning, leadership, business relationship management and business process management.
• Expert level knowledge and understanding of different types of business and operating models (existing, new, emerging and hybrid).
• Expert level knowledge of existing, new and emerging technologies and being able to apply them to new business designs and business models.
• Expert level in-depth experience with business transformation and process redesign methods.
• Expert level knowledge of facilitating and organization change management.
• Expert level analytical and conceptual skills; ability to create original concepts and theories for a variety of programs and projects.
• Expert level experience leading multi-disciplined, high-performance work teams.
• Expert level skills in leading program management efforts involving the coordination of resources and goals across multiple related projects.
• Expert level experience developing and monitoring delivery of efficient and effective solutions to diverse and complex business problems.
• Expert level knowledge of finance, accounting, valuation and metrics development.
• Expert level statistical and information analysis skills (a plus).

Behavioral Attributes

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.