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Corporate Vice President - AI / ML Security Operations Engineer jobs in United States
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New York Life Insurance Company · 17 hours ago

Corporate Vice President - AI / ML Security Operations Engineer

New York Life Insurance Company is evolving into a technology-driven organization, and they are seeking an AI / ML Security Operations Engineer to secure their machine learning and AI pipelines. This role involves extending application security practices to manage risks associated with AI systems and ensuring robust security controls throughout the ML lifecycle.
FinanceFinancial ServicesInsurance
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

ML security controlsVertex AIApplication securityCloud securityMLOps workflowsPythonSoft skills

Required

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

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

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

Company

New York Life Insurance Company

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For over 180 years, we’ve helped turn your biggest dreams into milestones that last a lifetime.

H1B Sponsorship

New York Life Insurance Company has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (99)
2023 (85)
2022 (77)
2021 (48)
2020 (65)

Funding

Current Stage
Late Stage

Leadership Team

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Craig DeSanto
CEO
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Don Vu
Senior Vice President, Chief Data & Analytics Officer
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Company data provided by crunchbase