OverviewBaker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.
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Job Description:
Baker Tilly is seeking a
Principal Platform Engineer - Integrations to lead the design, development, and operation of the firm's AI agent integration framework within the APG platform. This role is responsible for establishing scalable, secure, and standardized integration capabilities that connect third-party AI agents to the firm's technology ecosystem while maintaining ownership and control of enterprise data, decision history, and learning. The position plays a critical role in defining and enforcing vendor integration standards, building event-driven interfaces and data ingestion pipelines, and ensuring interoperability, portability, and production readiness across AI-enabled solutions.
As a foundational member of the Platform & Production Engineering team, this individual will partner closely with architecture, engineering, data platform, procurement, and vendor teams to translate integration requirements into production-ready solutions. The ideal candidate brings deep technical expertise in platform engineering, API and event-driven architectures, vendor integration, and observability, combined with strong hands-on development skills and the ability to establish technical standards in a rapidly evolving AI environment.
Responsibilities- Design and Build Integration Frameworks: Develop and maintain scalable integration capabilities, including event-driven architectures, publish/subscribe interfaces, webhooks, APIs, and Model Context Protocol (MCP) endpoints that enable secure, standardized connectivity between third-party AI agents and the firm's platform.
- Establish and Enforce Vendor Integration Standards: Define and maintain vendor-facing technical specifications, integration requirements, and acceptance criteria, ensuring third-party solutions meet established standards for interoperability, security, portability, and performance.
- Support Vendor Contract Requirements: Partner with procurement, legal, and architecture teams to translate technical integration standards into measurable, testable contractual commitments, including requirements for data ownership, decision traces, export rights, and vendor portability.
- Develop Data Ingestion and Telemetry Pipelines: Build and operate pipelines that capture AI agent decision traces, lineage, activity data, and telemetry, integrating