Sr. Integration Platform Engineer, AI & Agentic

TIAA•Iselin, NJ

25d•Onsite

About The Position

TIAA is seeking a Sr. Enterprise Integration Engineer to join our enterprise integration and agentic transformation team. This role will be directly responsible for designing, building, and scaling integration ecosystems that power TIAA's AI-driven partnership strategy and participant experience. The ideal candidate will bring proven experience in enterprise integration, a passion for modernizing complex platforms, and the vision to architect the next generation of AI agent-ready integration capabilities that directly impact TIAA's participants and partners.

Requirements

5+ years in enterprise integration, API platform engineering, or middleware architecture
Proven experience delivering B2B or B2B2C integration ecosystems at scale
Experience implementing Agentic AI or AI platform solutions in an enterprise environment
University (Degree) Preferred
5+ Years Required; 7+ Years Preferred
Career Level 9IC Required

Nice To Haves

7+ years in enterprise integration, API platform engineering, or middleware architecture
Strong foundation in API design, event-driven architecture, and integration patterns
Ability to lead technical teams and influence cross-functional stakeholders
Experience transforming complex legacy enterprise platforms into modern, AI-first solutions
Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) ecosystems
Exposure to context engineering principles and AI Agent frameworks
Experience with cloud-native integration platforms — AWS, Azure, or GCP
Financial services or regulated industry background
Related Skills Agile Methodology, Continuous Integration and Deployment, Data Analysis, Debugging, DevOps, Enterprise Application Integration, Operating Systems Management, Problem Solving, Programming, Software Development, Software Development Life Cycle, Web Application Development

Responsibilities

Lead design and development of enterprise integration ecosystems including API, Model Context Protocol (MCP), Agent-to-Agent (A2A), and AI Agent-driven patterns
Enable external and internal partner connectivity through scalable, secure B2B and B2B2C integration patterns that power TIAA's partnership ecosystem
Drive context engineering — designing how AI agents consume and act on integration capabilities — by converting APIs into agent-ready tools
Deliver self-service integration capabilities for both human and AI consumers
Modernize complex legacy enterprise platforms using AI-first architectural approaches
Serve as technical leader and subject matter expert in API governance, MCP and A2A ecosystems, and AI Agent-driven design patterns
Contribute to planning and roadmap development for enterprise integration and emerging agentic platform initiatives
Operate within an Agile team, contributing in roles such as Integration Architect, API Lead, Systems Architect, or Agentic Platform Engineer based on initiative needs