Corporate Vice President - GCP Platform Engineer - Enterprise Cloud & AI Platform

Location Designation: Hybrid - 3 days per week 

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.

What You’ll Do:

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

DevOps, Automation & MLOps Foundations

• 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

Security, Risk & Compliance

• 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)

Reliability, Observability & Cost Management

• 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

Collaboration & Governance

• 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

What You’ll Bring:

• 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

Desired / Preferred Qualifications (AI-Focused)

• 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)

What Success Looks Like

• Secure, compliant cloud and AI platforms aligned to NYL standards
• Safe and governed enablement of Google AI capabilities
• Faster delivery of AI-powered applications with reduced risk
• Strong collaboration across Cloud, Data, AI, Security, and Risk teams

#LI-TL2

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Pay Transparency

Salary Range: $147,500-$211,000 

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.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
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.

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Job Requisition ID: 93259