Senior Associate - Senior AI Platform Security Engineer

• 5+ years of experience in cloud security with the majority focused on GCP environments.
• Deep hands-on experience with GCP security services including IAM VPC Service Controls Cloud Armor KMS Secret Manager DLP and SCC.
• Strong Elastic SIEM experience including log ingestion detection engineering alert management and threat correlation.
• Production-level Terraform experience including module development infrastructure automation and state management.
• Experience integrating security controls into CI/CD pipelines using Harness or equivalent platforms.
• Strong knowledge of Kubernetes and GKE security including pod security admission network policies Workload Identity and Binary Authorization.
• Hands-on experience with ICAM or enterprise identity platforms governing non-human identities and workload access.
• Practical knowledge of AI/ML security including Vertex AI workload protection LLM API governance and training data security.

• Google Professional Cloud Security Engineer or Professional Cloud Architect certification.
• Experience with policy-as-code tooling such as OPA/Rego Sentinel or Checkov.
• Familiarity with AWS security services including IAM GuardDuty SCPs and multi-cloud security architectures.
• Experience with Cribl Stream or similar log routing technologies integrated with Elasticsearch.
• Understanding of compliance-driven security requirements including NY DFS 23 NYCRR 500 NAIC NIST CSF CIS Benchmarks and ISO 27001.
• Working knowledge of enterprise identity platforms including SailPoint CyberArk Ping Identity Active Directory and LDAP.
• Experience securing AI agent frameworks such as LangChain or Vertex AI Agent Builder.

• GCP: Vertex AI GKE Cloud Armor KMS SCC DLP Secret Manager Certificate Manager BigQuery Cloud Run
• Infrastructure as Code: Terraform (required) Harness CI/CD ICAM
• Identity: GCP Workload Identity Federation service account governance ICAM SailPoint CyberArk Ping Identity Active Directory LDAP
• AI/ML: Vertex AI Agent Builder Gemini APIs BigQuery ML RAG pipelines
• Secondary: AWS (IAM GuardDuty Bedrock) Azure (familiarity acceptable)
• Observability: Elastic SIEM (primary) SCC Cribl Stream Elasticsearch

What We Do

At New York Life our 180-year legacy of integrity mutuality and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S. we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view investing in people purpose and innovation that endures. Guided by a clear enterprise vision to become a technology- data- and AI-powered company we’re modernizing our platforms rearchitecting experiences and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today technology is amplifying that mission—enabling us to serve clients advisors and communities in more personalized proactive ways. With a diversified business portfolio spanning insurance investments retirement group benefits and direct-to-consumer offerings New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture inclusive teams and a shared belief that when our people thrive so does our company. Here tradition fuels momentum—and your ideas energy and growth power what’s next.

Why Work With Us

New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity humanity and shared success—values that show up in how we work lead and grow. If you want a place where innovation has purpose—build what's next with us.

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