At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #Life AtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of AI Security Architect to join our Cybersecurity team. This role will be based in New York City

In this role, you’ll make an impact in the following ways:

• Define enterprise AI security architecture: develop reference architectures, guardrails, and standards for secure data pipelines, model training/inference, and AI-integrated applications across on-prem and cloud.
• Secure MLOps/ML platforms: architect identity, secrets management, network segmentation, and least-privilege access for feature stores, model registries, orchestration, and deployment pipelines.
• Data protection by design: establish controls for sensitive data ingestion, anonymization/pseudonymization, encryption (at rest/in transit), tokenization, and lineage across AI workflows.
• Adversarial ML defense: design controls and tests for model poisoning, evasion, model theft/exfiltration, prompt injection, jailbreaking, data leakage, and output manipulation.

To be successful in this role, we’re seeking the following:

• 12 years in cybersecurity/enterprise security architecture with 3 years focused on AI/ML or data platform security at scale.
• Expertise in cloud security (AWS/Azure/GCP) including identity, secrets management, key management (KMS/HSM), network segmentation, and policy-as-code.
• Strong knowledge of AI/ML workflows: data ingestion/feature engineering, model training/inference, MLOps tooling (model registry, orchestrators, serving).
• Practical experience with adversarial ML concepts and defenses; familiarity with model robustness, prompt injection risks, and secure evaluation methods.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom
BNY LinkedIn

Here’s a few of our recent awards:

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

• BNY is an Equal Employment Opportunity/Affirmative Action Employer
• Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $142,000 and $259,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.