Job Description
Job Title
GCP Platform Engineer – Enterprise Cloud & AI Platform
Role Summary
The GCP Platform Engineer at New York Life is responsible for designing, building, and
operating secure, compliant, and scalable cloud and AI-enabled platforms on Google
Cloud Platform (GCP). This role enables application, data, and analytics teams by
providing standardized cloud infrastructure, Kubernetes platforms, and approved
Google AI services, while meeting financial services regulatory, security, and resiliency
requirements.
The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk
to ensure AI workloads are deployed with appropriate governance, data controls, and
observability. Key Responsibilities
Enterprise Cloud & AI Platform
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
Kubernetes, Containers & AI Workloads
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 Google AI / GenAI Enablement
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
