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

New York Life · New York, United States · 1 wk ago
Engineering$148k/yrFull-time

About the role

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.

Responsibilities

  • 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.

  • 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.

  • 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.

Requirements

  • 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

  • Leadership presence to drive cross-functional delivery and represent Cybersecurity at the enterprise level

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

  • 10+ years of combined experience in identity & access management, security engineering, and/or AI/software engineering — with a demonstrated track record of both hands-on development and technical leadership

  • Hands-on experience building and deploying AI agents and agentic pipelines on Google Cloud Platform (GCP), with specific expertise in Gemini Enterprise Agent Platform (FKA Vertex)

  • Experience securing agentic systems against prompt injection, privilege escalation, execution boundary violations, and unsafe automation, embedding these controls into the development lifecycle

  • 7+ years of IAM domain experience across Identity Governance & Administration (IGA), Privileged Access Management (PAM), Web Access Management (WAM), and/or Directory Services

  • Proven experience managing non-human identities (service accounts, APIs, workloads, autonomous agents) using least privilege and lifecycle governance principles

  • Deep understanding of identity and access protocols: OAuth 2.0, OpenID Connect (OIDC), SAML, LDAP, and modern token-based authorization models

  • Strong software engineering and automation skills (Python, PowerShell, Java or equivalent)

Skills

  • Agentic AI Engineering

  • Strong hands-on experience with agent frameworks such as LangGraph, ADK (Agent Development Kit), AutoGen, or equivalent programmatic agent frameworks

  • Experience designing and building multi-agent systems, including planning, tool execution, and orchestration patterns

  • Memory & State Management

  • Strong understanding of conversation/session state management and persistence strategies

  • Familiarity with state stores such as Redis, Firestore, Postgres, or equivalent

  • Tooling, MCP & API Engineering

  • Experience building agent-consumable tools and function interfaces using schema-driven APIs

  • Understanding of Model Context Protocol (MCP) and tool abstraction patterns

  • Experience designing and exposing secure, identity-aware APIs using OAuth2, mTLS, service accounts, and secrets management

  • Cloud & Platforms

  • Strong hands-on experience with Google Cloud Platform (Gemini Enterprise Agent Platform (FKA Vertex)) preferred

  • Experience with Amazon AgentCore or AWS Bedrock Agents is a plus

  • Security, Identity & Threat Domain

  • Deep IAM expertise across IGA, PAM, WAM, Active Directory, and LDAP

  • Hands-on experience with SailPoint IIQ, CyberArk, PingIdentity, and directory services

  • Strong understanding of SIEM platforms and identity-related threat patterns, including privilege escalation, anomalous access, and insider risk

Pay

TBD

Schedule

Hybrid - 3 days per quarter

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