Corporate Vice President - AI / ML Security Operations Engineer

Location Designation: Hybrid - 3 days per week 

The AI / ML Security Operations Engineer will be responsible for securing NYL’s machine learning and AI pipelines as they evolve from isolated experimentation into production, agentic, and automated decisioning systems. This role extends AppSec practices to address the unique risk created by the integration of models developed in Vertex AI into pipelines, agents, and downstream systems with real autonomy and impact.

This role sits within the Application Security team at the intersection of ML engineering, platform engineering, and security, bringing deep ML platform expertise to establish controls, guardrails, and patterns that scale as AI adoption accelerates.

What You'll Do:

• Engineer and maintain security controls across the full ML lifecycle: data ingestion, feature pipelines, training, model registry, deployment, and execution.
• Secure Vertex AI pipelines, notebooks, training jobs, model artifacts, and endpoints as they move from experimentation into production.
• Define and enforce separation of environments (dev, training, staging, production) with appropriate identity, authorization, and access controls.
• Design guardrails for agentic and automated AI use cases, including execution boundaries, tool invocation controls, and non-human identity management.
• Protect ML supply chain integrity: feature pipelines, training data provenance, model artifacts, and model serving endpoints
• Integrate ML security controls into existing AppSec CI/CD pipelines, SSDLC processes, and security testing frameworks.
• Extend AppSec standards (IAM, secrets management, API security) to ML workloads
• Establish repeatable security patterns, reference architectures, and governance models for AI and ML development.
• Implement monitoring and detection for ML-specific security risks, and investigate security events related to AI pipelines, model usage, and agent execution.
• Contribute to the definition of enterprise AI security standards and long-term operating models.

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of application security, cloud security, or security engineering experience.
• Hands-on experience working with ML platforms (Vertex AI, SageMaker, Azure ML, or equivalent).
• Strong understanding of ML pipelines, MLOps workflows, CI/CD security and model lifecycle management.
• Knowledge of application security fundamentals: authentication/authorization, supply chain security, secure APIs, secrets management.
• Experience securing non-human identities, service accounts, and automated workflows.
• Familiarity with AI/ML threat scenarios including data poisoning, model theft, inference abuse, prompt injection and unsafe tool invocation.
• Experience implementing security controls in CI/CD pipelines and infrastructure-as-code environments.
• Proficiency in Python for automation, analysis, and control enforcement.
• Strong understanding of cloud IAM, least-privilege design, and execution isolation.

Preferred Qualifications

• Experience securing agentic AI systems, orchestration frameworks, or autonomous workflows.
• Familiarity with AI security frameworks such as MITRE ATLAS or equivalent research.
• Experience designing governance models for ML platforms in regulated environments.
• Background working alongside data scientists and ML engineers in production settings.
• Exposure to model risk management, validation, or controls in financial services.
• Experience with policy-as-code, guardrails, and enforcement at scale.

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Pay Transparency

Salary Range: $147,500-$211,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.​

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

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Job Requisition ID: 93364