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
SrPlatform Engineer - Backend to join the founding team of the firm's AI Product Group (APG), supporting the development and operation of shared platform services that power AI applications and intelligent agents across the organization. This hands-on engineering role is responsible for designing, building, and maintaining scalable, secure, and reliable backend services, APIs, runtime components, and integration capabilities that support both internally developed and third-party AI solutions. The position plays a critical role in establishing foundational platform capabilities, including identity and access management, enterprise data connectivity, telemetry, and production infrastructure, while ensuring solutions are flexible, maintainable, and aligned with enterprise technology standards.
As an early member of the AI Product Group, this individual will collaborate closely with platform leadership, enterprise architects, AI engineers, data platform teams, and globally distributed technical teams to develop production-ready services that enable the firm's expanding AI ecosystem. The role emphasizes strong backend engineering fundamentals, hands-on development, security, evaluation-driven engineering, and end-to-end ownership of production systems. The ideal candidate brings demonstrated experience building and operating shared services, implementing authentication and authorization capabilities, and delivering reliable cloud-based solutions. Prior experience with AI, large language models, or agentic systems is not required; success in this role depends on sound technical judgment, strong problem-solving abilities, and the capacity to quickly learn and apply emerging technologies.
Responsibilities- Design and Build Shared Platform Services: Develop, implement, and maintain scalable backend services, APIs, and runtime components that support AI agents, enterprise applications, and shared platform capabilities.
- Implement Identity and Access Management: Build secure authentication, authorization, and entitlement capabilities for users, AI agents, delegated agent activities, and autonomous processes, ensuring appropriate access controls and accountability.
- Develop Secure Data Access and Integration Interfaces: Build and maintain APIs, service interfaces, and Model Context Protocol (MCP) endpoints