New York Life Insurance Company · 8 hours ago
Corporate Vice President - GCP Platform Engineer - Enterprise Cloud & AI Platform
New York Life Insurance Company is evolving into a more technology-, data-, and AI-enabled organization. The GCP Platform Engineer will design, build, and operate secure and scalable cloud and AI-enabled platforms on Google Cloud Platform, while ensuring compliance with financial services regulations and collaborating with various teams to operationalize AI workloads safely.
FinanceFinancial ServicesInsurance
Responsibilities
Design and maintain enterprise GCP landing zones aligned with NYL governance standards
Build and operate shared cloud services supporting AI and non-AI workloads
Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement
Support hybrid connectivity and secure data access patterns for AI use cases
Engineer and operate GKE clusters for application and AI inference workloads
Enable containerized AI services and microservices using approved base images
Support GPU-enabled workloads where approved
Implement standardized deployment patterns for AI APIs and services
Enable and operate approved Google AI services, including: Vertex AI (model hosting, endpoints, pipelines – platform enablement only, agentic AI engine and communication protocols), Gemini APIs and other managed GenAI services (as approved by NYL governance), BigQuery ML and AI-integrated analytics platforms
Implement secure access controls, networking, and monitoring for AI services
Integrate AI platforms with CI/CD pipelines and enterprise SDLC controls
Partner with Data & AI teams to operationalize AI workloads safely and compliantly
Build secure CI/CD pipelines for application and AI workloads
Support MLOps foundations such as: Model deployment automation, Environment promotion and rollback, Monitoring and logging for AI endpoints
Enforce guardrails, approvals, and policy-as-code for AI usage
Implement IAM, workload identity, and least-privilege models for AI services
Enforce data residency, encryption, and access policies
Integrate AI platform telemetry with enterprise logging, monitoring, and SIEM
Support audits, risk reviews, and regulatory requirements (SOC2, SOX, data privacy)
Design platforms for high availability and resilience, including AI services
Monitor AI workloads for performance, reliability, and cost usage
Optimize cloud and AI service costs using budgets and usage controls
Participate in incident response and root-cause analysis
Partner with Data & AI, InfoSec, Security, Risk, and Application teams
Contribute to enterprise standards for cloud and AI platform usage
Provide guidance on responsible AI platform adoption
Document reference architectures and best practices
Qualification
Required
5+ years of experience in cloud, platform, or DevOps engineering
Strong hands-on experience with Google Cloud Platform
Expertise in Terraform and Infrastructure as Code
Experience operating Kubernetes / GKE in enterprise environments
Proficiency in scripting (Python, Bash, or Go)
Strong understanding of cloud security, IAM, and networking
Experience working in regulated or highly governed environments
Preferred
Experience enabling or operating Google AI services, such as: Vertex AI (endpoints, pipelines, monitoring, agentic AI engine and communication protocols), Gemini APIs or other managed GenAI services, BigQuery ML
Familiarity with MLOps concepts (model deployment, versioning, monitoring)
Experience supporting AI inference workloads (not necessarily model training)
Understanding of Responsible AI, data governance, and model risk controls
GCP certifications (Cloud Architect, DevOps Engineer; AI certs a plus)
Benefits
Leave programs
Adoption assistance
Student loan repayment programs
Company
New York Life Insurance Company
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
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Trends of Total Sponsorships
2025 (149)
2024 (99)
2023 (85)
2022 (77)
2021 (48)
2020 (65)
Funding
Current Stage
Late StageRecent News
2026-01-13
2026-01-05
Insurance News in the United States
2025-12-13
Company data provided by crunchbase