Customer Solutions Manager, Prototyping & Customer Engineering

Do you have a builder’s mentality where “show me” means more than “tell me”? Are you passionate about technology, understand cloud architectures & platforms and quick to pick up emerging technologies? Are you adept at working with customers to experiment with innovative approaches and validate the technical feasibility of solutions? As trusted customer advocates in the Prototyping and Customer Engineering (PACE) team, you will help customers create early iterations of products and solutions, exploring new technical grounds. We are looking for a Customer Solutions Manager who can orchestrate complex customer engagements from concept to delivery, shaping how organizations globally adopt AI. In this role, you will own AI-focused customer engagements end-to-end, partnering with Prototyping Engineers and Design Technologists to deliver breakthrough solutions. You will work with technologies such as large language models, RAG architectures, autonomous agents, and AI-driven development tools, applying Amazon’s Working Backwards methodology to ensure every prototype starts with customer outcomes. Key job responsibilities Own strategic AI-focused customer engagements from kick-off through delivery, applying Working Backwards methodology to define solution requirements, success criteria, and scope. Facilitate PACE Prototyping Engineers and Design Technologists in AI solution design and agentic architecture patterns, coordinating adoption of AI-driven development tools to accelerate delivery. Partner with Global Sales and Solutions Architecture teams to identify and qualify Generative AI and Agentic AI opportunities, supporting PACE leadership with program-level strategy. Build and maintain relationships with customer executives and AWS leadership through structured communications, operational reviews, and clear reporting on AI outcomes and business impact. Establish engagement metrics, track delivery velocity, and contribute to program-level KPIs that measure success. Develop and implement processes that improve team efficiency, prototype delivery speed, and knowledge sharing across the PACE community. Proactively identify risks specific to AI implementations and develop mitigation strategies to ensure successful outcomes. Apply product thinking to ensure AI prototypes are designed with responsible AI practices, production readiness, and long-term customer value. A day in the life Your morning dives into three active prototype engagements pushing the boundaries of what’s possible with Agentic AI: a retail customer building an agentic shopping assistant, a financial services firm prototyping fraud detection, and a manufacturing company exploring supply chain optimization. Each novel challenge becomes a blueprint illuminating the path for enterprises globally. You facilitate a customer working session between their data science team and your Prototyping Engineer, navigating trade-offs between accuracy and latency. Mid‑morning, you run a risk review identifying a data‑access blocker, coordinating quickly with the customer’s infrastructure team and AWS Solutions Architects to unblock progress. You partner with Sales on a new opportunity, assessing feasibility and strategic fit. Afternoon brings a stakeholder sync demoing agent orchestration patterns and a team retrospective capturing breakthrough learnings. You are the connective tissue keeping engagements moving at unprecedented speed, removing blockers, ensuring quality, and shaping how enterprises adopt transformative AI. Position requires travel – about 25% domestic. Basic qualifications Bachelor’s degree in science, technology, engineering, math, business, or an equivalent field. At least 6 years of leading large‑scale technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion. At least 6 years of customer‑facing work, engaging with customer executives, technologists, or partners to solve business problems with advanced technologies. Experience leading technical and non‑technical transformation project teams with a proven ability to work across broad functional teams. Preferred qualifications PMP certification, or SCRUM/Agile, SAFe certification. Experience implementing cloud services including migrations and modernization projects or similar. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit 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, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, MA, Boston – $153,600.00 – $207,800.00 USD annually USA, WA, Seattle – $153,600.00 – $207,800.00 USD annually #J-18808-Ljbffr