Sr. Integration Platform Engineer, AI & Agentic

About the role

TIAA is seeking a Senior 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.

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

Requirements

• University (Degree) Preferred
• Work Experience: 5+ Years Required; 7+ Years Preferred
• Career Level: 9IC Required

Qualifications

• 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

Skills

• 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