Sr. Solutions Architect, US Commercial Midmarket Segment

Amazon Amazon · Big Tech · San Francisco, CA · Solutions Architect

Solutions Architect role focused on driving adoption of AWS services, particularly Generative AI and Agentic AI, for Small and Medium Business (SMB) customers. The role involves educating customers, formulating technical strategies, designing AI-powered solutions, and authoring customer-facing content to accelerate their cloud and AI transformation.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Author customer-facing publications such as whitepapers, blogs, and reference architectures emphasizing GenAI and Agentic AI for SMB customers.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • Generative AI
  • Agentic AI
  • multi-agent systems
  • foundation model integrations
  • responsible AI governance patterns
  • AI-powered workflows
  • agentic automation

Other signals

  • customer-facing
  • technical strategy
  • Generative AI
  • Agentic AI
  • AWS