Principal Technical Program Manager, Applied AI Solutions, Applied AI Solutions Acceleration Solutions Architecture
Amazon
- Location
- US, WA, Seattle
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- Posted
- Sep 16, 2026
Skills
About this role
The Applied AI Acceleration Solutions Architecture (AAA-SA) team is transforming how specialist expertise is delivered at scale across AWS. We are building agentic solutions that operationalize deep domain knowledge — enabling on-demand, consultative guidance that traditionally required engagement across multiple specialist roles. Our mission is to ensure every customer has on-demand access to trusted, specialized knowledge through personalized engagements that accelerate their business outcomes. We are looking for a Principal Technical Program Manager to own the end-to-end technical program management of our agentic AI platform development, enablement/badging programs, and demo experience initiatives. In this role, you will drive execution across multiple engineering workstreams, coordinate cross-organizationally with Go-to-Market (GTM) teams, Solutions Architects, and service team engineering, and establish the mechanisms that keep this fast-moving, high-ambiguity program on track. You will operate with complete independence, advise VP-level leadership, and bring clarity to significantly complex, cross-functional initiatives at the intersection of AI, customer engagement, and enterprise knowledge management. This is a strategic role that requires both deep technical program management acumen and the ability to navigate a landscape where the business and architectural strategy is still being defined. You will shape how we measure success, how we communicate progress, and how we scale our solutions from internal specialist teams to AWS field teams, partners, and ultimately customers. Key job responsibilities Engineering & Delivery Management - Agentic AI Platform: Own end-to-end program management for the agentic AI solutions, driving the integrated roadmap and milestones from concept through production across all engineering workstreams. - Engineering Coordination: Drive engineering coordination across engineering teams that co-develop production-grade AI solutions, and manage sprint cadences, dependency tracking, and releases. - Risk Management: Proactively identify and mitigate risks across engineering capacity, agentic platform readiness, knowledge accuracy, and change management. Establish escalation paths and drive resolution before blockers materialize. Business Reviews & Reporting - Business Reviews: Own and run business reviews with comprehensive metrics on adoption, user satisfaction, knowledge coverage, and engineering velocity. Define the mechanisms that surface the right data to the right audience at the right time. Author monthly business roll-ups for VP-level audiences that synthesize engineering progress, business impact metrics, adoption trends, and strategic recommendations into a compelling narrative. - Program Flashes: Produce and deliver program flashes providing leadership with crisp, data-driven status updates across all active workstreams — highlighting progress, risks, blockers, and key decisions needed. Cross-Organizational Coordination - Multi-org Alignment: Serve as the connective tissue between the Applied AI SA team, dedicated engineering teams, and service team engineering leadership. Align priorities, negotiate resources, and ensure joint accountability across organizations. - GTM Partnership: Partner with GTM teams, solution architects, sales specialists, and customer success managers to ensure product development is informed by field feedback and aligned to revenue acceleration objectives. - Ecosystem Integration: Coordinate with broader AWS initiatives (e.g., WWSO agentic programs, enterprise tools) to ensure interoperability, avoid duplication, and maximize the reach of composable knowledge agents. Enablement & Badging Programs - Badging Program: Own the program management for AI enablement and badging/certification programs that upskill AWS specialist and field teams. Define learning paths, track completion metrics, and drive adoption targets. - Knowledge Champion Network: Coordinate