Sr. Solutions Architect, US Commercial Midmarket Segment

About the role

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and grow. Our team empowers every customer by providing tailored service, compelling technology, and hands-on support. We take the time to understand each customer's unique challenges — from scaling rapidly with limited resources, to modernizing legacy systems, to unlocking new revenue streams through data and AI — then build solutions that accelerate their outcomes. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Responsibilities

• Drive success in building and migrating SMB customer applications onto AWS, including web and mobile platforms, data warehouses, line-of-business applications, and AI-powered workflows that enable autonomous decision-making.
• As part of the SMB account management team, formulate and execute a technical strategy aligned to SMB customers' growth goals, with a deliberate focus on GenAI and Agentic AI adoption that drives measurable outcomes across sales, operations, and customer engagement functions.
• Educate customers on AWS's value for SMB workloads and lead architectural discussions to ensure solutions are designed for resilience, cost efficiency, security, and rapid innovation — including multi-agent systems and foundation model integrations tailored to SMB use cases.
• Conduct one-to-few and one-to-many enablement sessions covering GenAI-powered productivity, agentic automation for business operations, serverless and analytics modernization, and AI-driven customer experience. Capture and share best practices across the SA community, including reusable agentic AI frameworks and responsible AI governance patterns.
• Author customer-facing publications such as whitepapers, blogs, and reference architectures emphasizing GenAI and Agentic AI for SMB customers. Build deep relationships with senior technical and executive stakeholders to accelerate their cloud and AI transformation journeys, and serve as a technical liaison advocating for SMB-specific product needs and roadmap priorities.

Requirements

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience
• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience working with end user or developer communities
• Experience architecting/operating solutions built on AWS
• Experience managing relationships with SMB customers and partners
• Hands-on experience with Generative AI and Agentic AI technologies on AWS (e.g., Amazon Bedrock, Amazon Q, foundation models, multi-agent frameworks)
• Experience designing AI-powered solutions that deliver measurable business outcomes, including responsible AI governance patterns
• Experience in modern application development, serverless architectures, data & analytics, and AI/ML

Qualifications

• Basic Qualifications
• Preferred Qualifications