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AI Security Architect

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Voya Financial
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

The AI Security Architect role will be a key delivery role for VOYA Financial focusing on a portfolio of programs or large projects as well as the line‑of‑business (LOB) or business unit (BU) applications, specializing in artificial intelligence. The AI Security Architect is accountable for proactively leading or supporting architecture activities that create deliverables that guide business models, people, process, organizational change, and technology investments toward achieving targeted business outcomes.

This individual is responsible for leveraging technology to enable the organization’s future‑state business capabilities, which can enable or alter business processes or practices that, in turn, drive the organization’s targeted business outcomes.

Duties

AI Security Architecture and Governance

  • 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.
  • Create 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.
Collaboration & Leadership
  • Develop, motivate and direct staff to create a team environment, and enable staff to fulfill the line‑of‑business (LOB) or business unit (BU) partners operating objectives.
  • Act as a security subject‑matter expert for AI initiatives across the organization.
  • Translate complex AI security risks into clear business and executive‑level guidance.
  • Mentor engineers and architects on AI security best practices and emerging threats.
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.
Differentiators
  • 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…
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