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

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
7+ years in enterprise integration, API platform engineering, or middleware architecture (preferred)
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

Senior Integration Platform Engineer, AI & Agentic

Key skills