Corporate Vice President - Integration Platform Architect

New York Life•New York, NY

1d•Hybrid

About The Position

We are seeking a highly skilled Integration Platform Architect to join our Artificial Intelligence & Data (AI&D) group. The Platform architect will own and evolve the enterprise integration platform and drive adoption across the organization. The architect will ensure APIs and data integrations are scalable, reusable, and AI-ready, enabling both traditional applications and agentic / LLM-driven workflows.

Requirements

10+ years in application integration and platform architecture
Expert-level proficiency with MuleSoft (Anypoint Platform), iPaaS, Flex Gateway, Agent Fabric and related tooling
Strong expertise in APIs, microservices, and event-driven architectures
Expertise in building, governing AI Agents, Agent orchestration, RAG and autonomous workflows
Building Cloud native integration solutions, expertise with either AWS and/or GCP
Solid understanding of security practices for API development and cloud architecture, including OAuth, JWT, and AWS IAM
Familiarity with containerization (Docker, Kubernetes/AWS EKS) and microservices orchestration

Nice To Haves

MuleSoft Integration and/or Platform Architect
AWS Solutions Architect (Professional preferred)

Responsibilities

Define integration platform strategy in alignment with enterprise priorities
Define and maintain architectural standards, patterns, and frameworks for API development and integration.
Govern the integration platform, drive reuse, discoverability, and adoption across the enterprise
Lead end-to-end integration design across core and channel systems in a multi cloud and hybrid eco system
Ensure solutions align with standards and are delivered as designed
Enable decoupled, scalable architectures (API-led, event-driven)
Enable LLM-driven workflows by exposing APIs as AI-consumable tools, MCP, A2A integrations
Establish security, governance, and observability guardrails for AI-driven integrations
Embed DevOps, CI/CD, AI-led engineering, and automation into integration delivery
Ensure resiliency, scalability, and 24x7 reliability
Mentor teams and drive adoption of integration best practices
Partner across business, engineering, data, and AI teams
Influence roadmaps and modernization strategy