Corporate Vice President - Google Cloud Platform (GCP) Lead - Enterprise Cloud & AI Platform

Location Designation: Hybrid - 3 days per week
Role Summary
The GCP Platform Lead 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 delivering standardized cloud infrastructure, Kubernetes platforms, and governed access to approved Google AI services.
This leader partners closely with Cloud, Data & AI, Information Security, and Risk teams to ensure platforms meet financial services requirements for security, regulatory compliance, resiliency, and operational excellence.
What You'll Bring:
Enterprise Cloud & AI Platform

• Design and deliver secure, scalable GCP architectures with strong governance, data controls, and observability
• Build and operate shared cloud platforms supporting both AI and non-AI workloads
• Architect infrastructure-as-code (IaC) for cloud, networking, and AI service enablement
• Establish platform standards for observability, monitoring, and performance management
• Define and implement reference architectures for AI-enabled applications and agentic workflows

AI / ML & Agentic Systems Enablement

• Enable and operationalize approved Google AI services, including Vertex AI, Gemini APIs, and BigQuery ML
• Design scalable architectures for LLM-based applications, including RAG pipelines and vector search
• Establish patterns for multi-step reasoning, orchestration frameworks, and agent-based systems
• Define memory strategies (short-term and long-term) for AI agents
• Implement evaluation, monitoring, and guardrails for AI systems in production

Kubernetes, Containers & Workloads

• Architect and operate GKE-based platforms for application and AI inference workloads
• Define standardized containerization and deployment patterns using approved base images
• Design scalable microservices architectures for AI APIs and services
• Enable GPU-based workloads where appropriate and approved

DevOps, Automation & MLOps Foundations

• Implement secure CI/CD pipelines aligned with enterprise SDLC standards
• Establish MLOps foundations, including model deployment, versioning, promotion, and rollback
• Integrate AI workloads into DevOps pipelines with appropriate controls and approvals
• Enforce policy-as-code, guardrails, and governance for AI usage

Security, Risk & Compliance

• Architect secure-by-design platforms using IAM, workload identity, and least-privilege access
• Implement data protection controls including encryption, data residency, and access policies
• Ensure compliance with regulatory requirements (e.g., SOC2, SOX, data privacy)
• Integrate platform telemetry with enterprise logging, monitoring, and SIEM systems
• Support audits, risk assessments, and regulatory reviews

Reliability, Observability & Cost Management

• Design highly available, resilient, and fault-tolerant architectures on GCP
• Define and enforce SLAs, SLOs, and SLIs across platform services
• Implement disaster recovery and business continuity strategies
• Establish observability standards (metrics, logs, tracing) and real-time monitoring
• Optimize cloud and AI spend through cost controls, budgeting, and usage governance
• Lead incident response and root cause analysis efforts

Collaboration & Governance

• Partner with Data & AI, Information Security, Risk, and application teams to drive platform adoption
• Define and promote enterprise standards for cloud and AI platform usage
• Provide guidance on responsible and compliant AI adoption
• Develop and maintain reference architectures, documentation, and best practices

What You'll Bring:

• 8+ years of experience in cloud, platform engineering, or DevOps
• Strong expertise in Google Cloud Platform (GCP) architecture and services
• Experience designing and implementing Infrastructure as Code (Terraform or similar)
• Deep experience with Kubernetes and GKE in enterprise environments
• Proficiency in scripting (Python, Bash, or Go)
• Strong understanding of cloud security, IAM, and networking
• Experience operating in regulated or highly governed environments

Preferred Qualifications (AI-Focused)

• Experience enabling and scaling Google AI services such as Vertex AI, Gemini APIs, and BigQuery ML
• Hands-on experience with LLM-based applications, RAG architectures, and vector databases
• Familiarity with MLOps practices (model deployment, monitoring, lifecycle management)
• Experience designing AI inference workloads in production environments
• Understanding of Responsible AI, data governance, and model risk management
• GCP certifications (Professional Cloud Architect, DevOps Engineer; AI certifications a plus)

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.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
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 hereto 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.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 93993
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