AI Security Architect

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against:
We will stand up for and champion everyone's access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work.

Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

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.

AI Security Architects must be capable of practically applying existing, new, and emerging artificial intelligence technologies to new and evolving business and operating models. The individual in this role develops deliverables that are valuable to the business, including business capabilities, business requirements and workflow. This individual is responsible for being a thought leader and driving AI and GenAI projects and initiatives from inception through completion.

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 Agentic

AI 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…