Corporate Vice President - Lead AI Engineer, Identity & Access Management

 

Location Designation: Hybrid - 3 days per quarter 

 

 

Role Overview

The Lead AI Engineer, Identity & Access Management is a senior, hands-on technical role that blends deep Identity & Access Management expertise with modern AI engineering capability. This is not a purely advisory or architectural position. We are looking for a builder and a leader: someone who can design, develop, and deliver production-grade agentic systems while also setting the technical direction, mentoring others, and representing the CISO organization at the enterprise level.

This individual will own three critical, interconnected bodies of work that are central to New York Life’s Cybersecurity strategy:

• IAM Orchestration & MCP Gateway: Own the engineering and enterprise adoption of New York Life’s IAM Orchestration and MCP Identity Gateway capability. This includes driving onboarding of internal teams and AI agents, governing authentication, delegation, authorization, and policy enforcement across human and non-human access patterns, and leading integration efforts across the enterprise identity stack.

• Cyber Multi-Agent Ecosystem – Engineering & Delivery: Serve as the primary AI engineer and technical lead responsible for building and delivering the Cyber Multi-Agent Ecosystem Vision. This is the core of the role: architecting and developing a centralized, governed, agentic platform that transforms Cyber and IAM operations through intelligent automation, orchestrated AI agents, MCP tooling, and a unified identity and data layer, deployed on Google Cloud Platform (Gemini Enterprise Agent Platform, FKA Vertex AI) and/or Amazon AgentCore.

• AI Security Review Board (SRB) Representation: Represent the CISO organization on the Enterprise Security Review Board for all AI-related submissions. The engineer will assess AI system proposals, evaluate agentic and non-human identity risks, and provide authoritative security guidance to ensure all AI deployments meet enterprise governance and compliance requirements.

Successful candidates will have a strong software and systems engineering foundation, hands-on experience building agentic and AI systems on Gemini Enterprise Agent Platform (FKA Vertex) and/or Amazon AgentCore, and the leadership presence to drive cross-functional delivery and represent Cybersecurity at the enterprise level. This role is as much about building the future as it is about securing it.

What You'll Do:

1. IAM Orchestration & MCP Gateway – Engineering & Adoption

• Own the engineering, configuration, and ongoing operation of the enterprise IAM Orchestration and MCP Identity Gateway platform.

• Drive onboarding and adoption across internal teams, applications, and AI agents, serving as the primary technical point of contact for integration efforts.

• Engineer and maintain the gateway as the centralized enforcement layer for OAuth 2.0-based authentication, token delegation, and policy-driven authorization (via OPA) across human and non-human access patterns.

• Design and implement MCP integrations that expose backend enterprise systems as standardized, secure tool endpoints consumable by AI agents.

• Ensure the platform provides robust rate limiting, quota management, kill-switch controls, and full audit logging in alignment with enterprise risk and compliance requirements.

• Collaborate with identity platform teams (IDP, PAM, IGA, Directory Services) to maintain seamless identity orchestration across the enterprise stack.

• Define and execute an integration roadmap to extend gateway capabilities, including human-in-the-loop controls and cross-cloud identity flows.

 

2. Cyber Multi-Agent Ecosystem – AI Engineering & Technical Leadership

This is the primary and most critical body of work for this role. The engineer will serve as both hands-on builder and technical lead for New York Life’s Cyber Multi-Agent Ecosystem. This is a strategic transformation from traditional, UI-driven IAM systems to an agentic, API-first architecture that enables intelligent automation, real-time decisioning, and near-zero manual intervention across Cyber operations.

• Lead the design, development, and phased delivery of the Cyber Multi-Agent Ecosystem, functioning as the primary AI engineer and technical lead for the initiative.

• Architect and implement a centralized, multi-agent platform on Gemini Enterprise Agent Platform (FKA Vertex) and/or Amazon AgentCore, integrating MCP tooling, vector databases, and re