New York Life Insurance Company · 1 week ago
Corporate Vice President - Google Cloud Platform Engineer - Enterprise Cloud & AI Platform
New York, NY
Full-time
Hybrid
Mid, Senior Level
$148K/yr - $211K/yr
5+ years expNew York Life Insurance Company is evolving into a technology-, data-, and AI-enabled organization. They are seeking a Corporate Vice President - Google Cloud Platform Engineer to design, build, and operate secure cloud and AI-enabled platforms on Google Cloud Platform (GCP), while ensuring compliance with financial services regulations.
FinanceFinancial ServicesInsurance
Responsibilities
Design and maintain enterprise GCP landing zones using Google Cloud Deployment Manager, Terraform, and Cloud Foundation Toolkit aligned with NYL governance standards. Build and operate shared cloud services supporting AI and non-AI workloads on GCP components like Cloud Storage, Cloud Functions, Cloud Run, Cloud Pub/Sub, and Cloud Spanner. Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement
Support hybrid connectivity and secure data access patterns for AI use cases using Cloud Interconnect and Cloud VPN
Engineer and operate GKE (Google Kubernetes Engine) clusters for application and AI inference workloads
Enable containerized AI services and microservices using approved base images from Google Container Registry (GCR) or JFrog Artifact Registry
Support GPU-enabled workloads where approved
Implement standardized deployment patterns for AI APIs and services using Helm for Kubernetes deployment management
Enable and operate approved Google AI services, including: Vertex AI (model hosting, endpoints, pipelines – platform enablement only, agentic AI deployments and communication protocols in Vertex AI Agent Builder and Agent Engine), 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 using Cloud Identity & Access Management (IAM), VPC Service Controls, and Cloud Monitoring
Integrate AI platforms with CI/CD pipelines and enterprise SDLC controls using tools like Harness CICD
Partner with Data & AI teams to operationalize AI workloads safely and compliantly within Google Cloud environments
Build secure CI/CD pipelines for application and AI workloads using Harness CI/CD
Support MLOps foundations such as: Model deployment automation via Kubeflow, TensorFlow Extended (TFX), Vertex AI Pipelines, and Vertex AI Model Registry. Environment promotion and rollback using Terraform. Monitoring and logging for AI endpoints using New Relic for synthetic monitoring, and Cloud Logging and Cloud Monitoring for deeper observability and troubleshooting
Enforce guardrails, approvals, and policy-as-code for AI usage with Cloud Security Command Center, Google Cloud Policy Analyzer, and Open Policy Agent (OPA)
Implement IAM, workload identity, and least-privilege models for AI services using Cloud Identity & Access Management (IAM) and Workload Identity Federation
Enforce data residency, encryption, and access policies using Cloud Key Management Service (KMS) and Cloud Data Loss Prevention (DLP)
Integrate AI platform telemetry with enterprise logging, monitoring, and SIEM using Cloud Logging, Cloud Monitoring, and New Relic
Support audits, risk reviews, and regulatory requirements (SOC2, SOX, data privacy) by leveraging Google Cloud Security Command Center, Cloud Audit Logs, and Cloud Data Loss Prevention API
Design platforms for high availability and resilience, including AI services using GKE, Cloud Spanner, Cloud SQL, and Google Cloud Load Balancing
Monitor AI workloads for performance, reliability, and cost usage using New Relic for synthetic monitoring, Cloud Monitoring, and Cloud Trace for performance insight and Harness CCM for cost
Optimize cloud and AI service costs using budgets and usage controls using Google Cloud Billing, Budgets, Alerts and Harness CCM
Participate in incident response and root-cause analysis logged in service now and manage incident notifications through PagerDuty
Partner with Data & AI, InfoSec, Security, Risk, and Application teams to ensure secure, compliant, and efficient AI platform usage
Contribute to enterprise standards for cloud and AI platform usage including Best Practices for GCP and Google Cloud Architecture Framework
Provide guidance on responsible AI platform adoption using frameworks like Google's AI Principles and Fairness Indicators
Document reference architectures and best practices for GCP AI services, MLOps, and cloud infrastructure
Qualification
Required
5+ years of experience in cloud, platform, or DevOps engineering
Strong hands-on experience with Google Cloud Platform specifically services like GKE, BigQuery, Cloud Storage, Cloud Functions, and Vertex AI
Expertise in Terraform and Infrastructure as Code
Experience operating Kubernetes / GKE in enterprise environments with tools like kubectl, Helm
Proficiency in scripting with languages like Python, Bash, or Go
Strong understanding of cloud security, IAM, and networking using VPC, Cloud IAM, and VPC Service Controls
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 and AI-integrated analytics platforms
Familiarity with MLOps concepts (model deployment, versioning, monitoring) using Kubeflow, TensorFlow Extended (TFX), and Vertex AI Pipelines
Experience supporting AI inference workloads (not necessarily model training) in GKE or Cloud Run
Understanding of Responsible AI, data governance, and model risk controls
GCP certifications like Google Cloud Certified – Professional Cloud Architect, Google Cloud Certified – Professional Cloud DevOps Engineer; AI-related certifications such as Google Cloud Certified – Professional Machine Learning Engineer are 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.
10001+ employees
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 StageLeadership Team
Don Vu
Senior Vice President, Chief Data & Analytics Officer
Deepa Soni
Executive Vice President and Chief Information Officer
Recent News
2026-01-13
2026-01-05
Insurance News in the United States
2025-12-13
Company data provided by crunchbase