Specialist Solutions Architect; Database, Data & AI Specialist

Requirements

• Are you passionate about building applications with No
  
  SQL databases?
• Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
• Experience in IT development or implementation/consulting in the software or Internet industries
• Experience with in specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
• Experience in design, implementation, or consulting in applications and infrastructures
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• (Desirable) Experience working with end user or developer communities
• (Desirable) Experience in infrastructure architecture, database architecture and networking

• Amazon Web Services is looking for an experienced No
  
  SQL Solutions Architect to work directly with AWS customers to design cloud-based No
  
  SQL solutions using Amazon Dynamo
  
  DB, a scalable and highly available serverless No
  
  SQL database, designed for mission-critical applications
• You will get a chance to work with some of the most prominent startups, as well as some of the largest enterprises, to help them architect scalable No
  
  SQL solutions using Amazon DynamoDB
• You will be able to dive deep into the details of customer problems, work with the internal AWS service teams, to create solutions that solve customer needs
• You will partner with AWS sales, business development, solutions architecture, and product teams to develop the internal expertise needed to grow Dynamo
  
  DB-related revenue
• Collaborate with AWS field sales, pre-sales, training and support teams to help customers learn about and use DynamoDB
• Provide definitive guidance for customers in choosing the right database services and approaches
• Be a trusted collaborator for the Dynamo
  
  DB service team as the voice of the customer for defining and prioritizing service features
• Lead enablement by training Solutions Architects, Professional Services Consultants, and Technical Account Managers
• Capture and share best-practice knowledge with customers and the worldwide AWS solutions architect community
• Contribute to the AWS Database Blog, service documentation, and reference architectures
• Present at industry events to educate customers and evangelize AWS and DynamoDB
• A day in the life:
• As a Dynamo
  
  DB Specialist Solutions Architect, you work alongside a team of No
  
  SQL specialists spanning Document
  
  DB, Neptune, Keyspaces, Elasti Cache, and Memory
  
  DB. Together, you help
• Customers design purpose-built database architectures — and increasingly, that means powering the next generation agentic AI applications
• Your work centers on customer engagements where Dynamo
  
  DB plays a critical role in modern architectures. You might spend part of your day designing a session and memory store for an
• Autonomous AI agent framework — ensuring conversation state, tool-use history, and retrieval context persist at scale with single-digit millisecond latency. You collaborate with your
• Neptune colleague on the knowledge graph layer while you own the fast-access transactional tier that keeps agents responsive and stateful
• Other engagements are just as varied. One customer needs a multi-tenant SaaS platform with complex access patterns. Another is building an event-driven pipeline where Dynamo
  
  DB Streams
• Feed downstream AI orchestration. In each case, you design partition strategies, define GSI patterns, and articulate why Dynamo
  
  DB fits this part of the architecture while a different
• No
  
  SQL engine serves another
• You also translate deep technical expertise into broader impact — building reference architectures, presenting to engineering leadership, and contributing to internal enablement across
• The specialist team. You share patterns across database boundaries, offering partition key insights to a Keyspaces engagement or reviewing a Document
  
  DB schema with fresh eyes
• The common thread is helping customers choose the right database for each workload, use it well, and build architectures ready for what comes next — whether that's agentic AI, real-time
• Personalization, or massive-scale IoT