Hiring: Corporate Vice President - Head of Enterprise AI Platform Company: New York Life Location: New York, NY Job Posted Time: 2026-09-14 11:15:49 Employment Type: Hybrid Target Skills & Keywords : CI/CD, GCP, GDPR, GitHub, HIPAA, Infrastructure as Code, Kubernetes, LLM, LangChain, OpenTelemetry, Python, RAG, Risk Management, SOC 2, Systems Design, Terraform, Vertex AI About the job Required Skills: •This team sits at the intersection of AI platform engineering, agentic system design, cloud architecture, and enterprise governance. Our mission is to build secure, governable, production-ready AI capabilities on top of enterprise data, APIs, and cloud-native platform services, moving beyond pilots to scalable business outcomes. •Build agents that power the platform. Develop platform capabilities as intelligent agents—not just traditional services. Examples include lifecycle management agents that register, version, monitor, govern, and retire AI assets across the enterprise. •Build cloud agents that plan and implement. Create agents that can translate business needs into implementation plans, orchestrate the required skills and tooling, and execute work with human oversight at the appropriate checkpoints. •Build end-to-end multi-agent solutions. Design and implement solutions where specialized agents collaborate to architect systems, provision infrastructure, generate code, validate through dedicated testing agents, deploy applications, perform post-deployment verification, and maintain complete operational traceability. •Build with AI-assisted engineering tools. Be fluent with modern AI development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, or equivalent technologies. AI-assisted software development is a core engineering competency and will be evaluated throughout the interview process. •Define the technical vision and reference architecture across the enterprise AI platform, including agent lifecycle services, orchestration capabilities, retrieval and memory services, and AI control plane components that integrate with enterprise AI services. •Own and execute the multi-phase platform roadmap, delivering foundational AI platform capabilities, reusable platform services, enterprise knowledge capabilities, and end-to-end builder agents that accelerate AI solution delivery. •Lead, mentor, and develop a high-performing team of senior AI engineers while maintaining hands-on ownership of architecture, engineering, and agent development. Establish a high engineering bar and champion AI-assisted software development practices. Qualifications: •Proven experience leading the delivery of enterprise AI platforms, ML platforms, developer platforms, or cloud-native engineering platforms operating at production scale. •Deep expertise with cloud architecture and modern infrastructure, including Google Cloud Platform (preferred), Kubernetes, containers, Infrastructure as Code (Terraform), CI/CD, networking, identity, and observability. •Strong experience designing and building production-grade generative AI and agentic systems, including LLMs, retrieval-augmented generation (RAG), memory architectures, multi-agent orchestration, tool integration, Model Context Protocol (MCP), agent-to-agent (A2A) communication, and evaluation frameworks. •Demonstrated ability to lead senior engineering teams, establish technical direction, influence executive stakeholders, and successfully deliver complex technical roadmaps. •Strong software engineering background with production experience in Python and modern software architecture. •Excellent communication and collaboration skills with the ability to influence both technical and business stakeholders. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!