Sr. Integration Platform Engineer, AI & Agentic
TIAAAbout the role
Sr. Enterprise Integration Engineer, AI & Agentic Platforms
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.
Key Responsibilities and Duties
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
Educational Requirements
- University (Degree) Preferred
Work Experience
- 5+ Years Required; 7+ Years Preferred
Career Level
9IC
Required Skills
- 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
Preferred 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
Anticipated Posting End Date:
2026-06-09Base Pay Range: $166,100/yr - $254,300/yrActual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, 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).
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Company Overview
Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dignity, today weʼre a market-leading retirement company fueled by world-class asset management. But weʼre not just another legacy financial services firm. Weʼre fighting harder than ever before for our clients and the many Americans who need us.
Our Culture of Impact
At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enabl
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