Senior Associate - AI Platform Security Engineer

New York, Inc.
New York, NY, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$124,000.0 - $177,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Audit Trail Cloud Computing Security Information Systems Continuous Integration Information Leak Prevention Data Security Identity and Access Management Python (Programming Language) Network Security Machine Learning Azure Machine Learning
+11 more
Google Cloud Cloud Platform System Data Ingestion Large Language Models Generative AI Amazon Virtual Private Cloud (VPC) AI Platforms Information Technology Machine Learning Operations Terraform Security Orchestration, Automation & Response

Job description

The Security Engineer will play a key role in designing, engineering, and securing NYL’s AI development platform built on Google Cloud and Vertex AI. This is a hands-on security engineering role focused on establishing secure-by-design foundations for AI and ML workloads, including data ingestion, model development, training pipelines, and deployment.

The engineer will work closely with cloud platform, data science, and ML engineering teams to implement security controls that protect sensitive data while enabling rapid experimentation and delivery. This role requires deep expertise in cloud security, identity, network controls, and automation, combined with a practical understanding of AI/ML development patterns in regulated environments.

What You’ll Do:

  • Engineer, configure, and maintain security controls for Google Cloud and Vertex AI environments.
  • Design and implement secure Vertex AI architectures covering notebooks, pipelines, model registry, endpoints, and feature stores.
  • Define and enforce IAM patterns for human and non-human identities, including service accounts and Workload Identity Federation.
  • Implement network security controls such as VPC design, private connectivity, service perimeters, and egress restrictions for AI workloads.
  • Engineer encryption strategies for AI data and artifacts, including CMEK, data-at-rest, and data-in-transit protections.
  • Establish security guardrails and baseline configurations for AI development teams using infrastructure-as-code.
  • Integrate audit logging, monitoring, and alerting for Vertex AI and GCP security events.
  • Implement DLP controls to prevent sensitive data exposure during training and inference workflows.
  • Conduct threat modeling and security assessments for AI and ML use cases.
  • Partner with data science, ML engineering, and cloud platform teams to embed security into development workflows without impeding velocity.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
  • 5+ years of experience in cloud security or security engineering roles.
  • Hands-on experience securing Google Cloud Platform environments.
  • Direct experience with Vertex AI or comparable ML platforms, including securing end-to-end ML workflows.
  • Strong knowledge of cloud IAM, least-privilege design, and non-human identity management.
  • Experience implementing network security controls in cloud environments (VPCs, private endpoints, service perimeters).
  • Familiarity with AI/ML security risks such as data poisoning, model theft, inference abuse, and data leakage.
  • Proficiency with Python for security automation and policy enforcement.
  • Experience with infrastructure-as-code (Terraform preferred).
  • Understanding of regulatory and compliance requirements in financial services environments., * Google Professional Cloud Security Engineer certification.
  • Experience securing AI/ML platforms in highly regulated industries.
  • Familiarity with AI security frameworks such as MITRE ATLAS.
  • Experience with CI/CD integration for ML pipelines and security guardrails.
  • Knowledge of confidential computing and secure data processing techniques.
  • Exposure to generative AI security concerns (LLMs, RAG, agents).

Benefits & conditions

Salary Range: $124,000-$177,000

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.

About the company

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it., 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.

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients’ and employees’ needs.

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