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

Benefits

The competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).