Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.
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Job Description
Baker Tilly is seeking a Principal Platform Engineer 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 this information into the firm's data platform and Intelligence Layer to support monitoring, evaluation, and continuous improvement.
Ensure Secure Integration and Access Controls: Implement identity management, entitlements, permissible-use controls, and secure integration boundaries that protect enterprise information and prevent unauthorized system interactions.
Advance Platform Engineering Capabilities: Collaborate with the Chief Architect and platform engineering leadership to develop shared platform services, including gateways, runtime capabilities, and reusable infrastructure that support the firm's expanding AI ecosystem.
Drive Production Readiness and Reliability: Establish observability, monitoring, testing, and rollback capabilities to ensure integrated AI agents operate reliably, securely, and effectively in production environments.
Lead Technical Vendor Integration: Coordinate directly with external engineering teams to support integration development, technical validation, troubleshooting, and acceptance testing, including the integration of assurance-related AI agent solutions.
Collaborate Across Global Engineering Teams: Partner with engineering teams in India and cross-functional teams to align technical standards, coordinate development activities, and support consistent engineering practices and operational execution.
Support Strategic Initiatives: Participate in special projects and perform other duties as assigned to advance the firm's AI platform strategy and business priorities.
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field,; advanced degree preferred.
10+ years of progressive experience in platform engineering, systems integration, or related software engineering disciplines, including development and support of production-scale enterprise solutions.
Demonstrated experience designing, building, and operating event-driven integration architectures, including publish/subscribe messaging, webhooks, API platforms, and distributed systems.
Strong hands-on programming experience with Python and/or TypeScript, including recent experience developing, testing, and maintaining production-quality code.
Proven experience developing vendor-facing technical specifications, establishing integration standards, and holding external engineering teams accountable for technical requirements and acceptance criteria.
Deep understanding of API design, versioning, contract testing, integration patterns, and emerging agent interoperability technologies, including Model Context Protocol (MCP).
Experience implementing identity management, authentication, authorization, entitlements, and permissible-use controls within enterprise integration environments.
Demonstrated experience building telemetry, event processing, and data ingestion pipelines that integrate with modern enterprise data platforms, including Databricks or comparable lakehouse technologies.
Strong knowledge of observability, monitoring, logging, distributed tracing, incident management, and rollback strategies for production systems and third-party integrations.
Experience designing integration architectures that support vendor portability, system interoperability, data ownership, and replacement of third-party technology components.
Strong technical problem-solving and troubleshooting skills, with the ability to diagnose complex integration issues and implement scalable, reliable solutions.
Demonstrated ability to collaborate effectively with enterprise architects, product and engineering leaders, procurement teams, and external technology vendors.
Excellent written and verbal communication skills, including the ability to develop clear technical documentation, articulate complex engineering concepts, and influence technical decisions across stakeholder groups.
Experience working with globally distributed engineering teams and coordinating development activities across multiple functions and geographic locations.
Demonstrated ability to work independently, manage competing priorities, and deliver high-quality technical solutions in a fast-paced, evolving environment.
Proficiency in leveraging AI-assisted and agentic development tools to improve engineering productivity, accelerate development, and enhance solution quality.
No professional certifications or licenses required.
The pay rate range for this job position are listed below. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.
The national pay rate range is $200,000–$350,000
In California: pay rate range is $200,000–$350,000
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