Director, Cyber Security Architect

BNY Mellon • Pittsburgh, PA

2d • $142,000 - $259,000

About The Position

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 #LifeAtBNY 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:

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 1-10 employees