Senior Specialist Solutions Architect, Bedrock, WWSO Startups

Are you a customer-obsessed builder with a passion for helping customers build faster, smarter, and more reliably with AI? Are you excited about the growing GenAI and Foundation model landscape and platforms Basic qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military - Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - Experience with AI/ML technologies - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization - Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity. Preferred: - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) - Master's degree or above in engineering, management, or technology, or Master's degree or above in computer science, engineering, mathematics or equivalent - Familiarity with foundation models, open-weight and frontier models, world models, and agentic frameworks used by Startups - Familiarity with Agentic AI architectures — multi-agent orchestration, tool-use patterns, MCP (Model Context Protocol), and autonomous agent frameworks - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developer communities, and at industry events - Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches (e.g., Strands Agents SDK, LangGraph, CrewAI) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or 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.