Principal Technical Program Manager, AWS Applied AI Solutions - Core Services
Amazon Development Center U.S., Inc.•2h ago
United StatesHybridFull-timePrincipal Level10+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Program ManagerTechnical Program Manager
- As part of the AWS Applied AI Solutions organization (AAIS), we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We are seeking a Principal Technical Program Manager to lead program execution for Mosaic, our strategic platform initiative delivering seven foundational pillars (Identity, Data and Knowledge, Foundational Agents, Evaluation, Onboarding, User Experience
- Data Analytics and Observability) that accelerate how AAIS teams build production-grade AI agents and applications. You will drive end-to-end delivery across multiple engineering teams, manage complex cross-organizational dependencies
- establish the mechanisms that transform Mosaic from an early-stage initiative into a scaled platform serving all of Applied AI Solutions. This role requires deep technical acumen in distributed systems and AI/ML infrastructure, a demonstrated ability to operate at principal-level scope across organizational boundaries
- the judgment to make trade-offs that balance speed of delivery with long-term platform coherence. The Core Services AI Foundations team within AWS Applied AI Solutions builds the foundational platform that enables application development teams to ship production-grade AI agents and applications with confidence. We provide the shared infrastructure, tooling
- guardrails that handle the hardest cross-cutting concerns in agentic AI: evaluation, identity and access management, observability and analytics, data and knowledge management, foundational agents
- user experience. Our customers are AAIS builder teams developing AI-powered enterprise applications for contact center, supply chain, healthcare
- life sciences domains. We reduce development time from months to days by abstracting complexity and eliminating undifferentiated heavy lifting. This role combines the ownership of a startup environment with the scale of AWS. You will help chart the course for how AWS builds AI products. Key job responsibilities Drive program strategy, roadmap planning
- execution across Mosaic's seven foundational pillars, coordinating delivery timelines and resolving cross-pillar dependencies that span multiple engineering teams Establish and operate program mechanisms (reviews, risk management, escalation paths) at VP/Director level to maintain velocity, surface blockers early
- drive decision-making across Applied AI Solutions leadership Lead cross-organizational coordination with AWS primitive service teams (IAM, Bedrock, AgentCore, OpenSearch, CloudWatch) to align on integration patterns, influence roadmaps
- close capability gaps Define and track platform adoption metrics, convergence targets
- operational health indicators that demonstrate Mosaic's impact on reducing development time and eliminating duplicative work across AAIS Own technical program architecture decisions by decomposing ambiguous platform requirements into executable workstreams with clear milestones, acceptance criteria
- dependency chains Drive operational excellence for Mosaic services including launch readiness reviews, region expansion planning
- production health standards Identify and drive strategic convergence opportunities across AAIS teams building overlapping capabilities, partnering early to influence designs toward reuse without constraining delivery momentum A day in the life You start your morning reviewing platform delivery dashboards and triaging risks across active workstreams. You're leading a cross-pillar dependency review with engineering leads from Identity, Evaluation
- Observability teams, resolving a sequencing conflict and aligning on a revised integration timeline. You join a working session with an AWS primitive team to negotiate API contract changes needed for Mosaic's access control module. You then shift to preparing the weekly executive review, distilling complex technical trade-offs into a decision framework for Director and VP stakeholders. You meet with an AAIS application team evaluating Mosaic adoption, capturing friction points that feed directly into your next sprint's priorities. Your days move fluidly between technical depth and organizational leadership. You are equally comfortable whiteboarding system architectures and driving alignment across seven teams with competing priorities. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path
- includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home
- is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 7+ years of technical product or program management experience - 10+ years of working directly with engineering teams experience - 5+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - 10+ years of technical program management experience - Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- experience leading engineering teams as a mentor or tech lead - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 7+ years of working directly with engineering teams on distributed systems, platform infrastructure
- cloud services - Experience managing programs spanning 5+ engineering teams with complex cross-team dependencies, concurrent workstreams
- VP/Director-level stakeholder management - Demonstrated ability to decompose ambiguous, large-scale platform initiatives into executable program plans with clear milestones and dependency chains - Strong written communication skills with experience authoring narratives, program strategies
- technical documents for senior leadership audiences
- 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience building launch readiness frameworks, standard work, playbooks
- scalable deployment mechanisms across multiple concurrent sites - Experience running an effective operational excellence program - Master's degree in a technical field
- Master of Business Administration - Experience with AI/ML technologies - Experience driving convergence programs that reduce technical fragmentation across large engineering orgs - Familiarity with AWS services (Bedrock, AgentCore, IAM, CloudWatch, OpenSearch) and their application to AI workloads - Experience in platform adoption strategy, developer experience optimization
- go-to-market planning for internal infrastructure Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually
Required skills
AIMLdistributed systemsprogram managementcloud computingdata analyticsuser experienceidentity managementobservabilityrisk management