Drimva

Amazon

Worldwide Specialist Solutions Architect - Bedrock, Data & AI GTM

$154K–$239K

Seattle, WA +2 · Full-time · Posted Sep 18, 2026

Location
Seattle, WA
New York, NY
San Francisco, CA
Experience
7+ years in specified technology domain areas; no alternative stated.
Education
Bachelor's degree in computer science, engineering, mathematics or equivalent.

About the job

Designs and helps customers implement generative AI solutions on AWS, while advising on adoption, enabling technical teams, and relaying customer feedback to AWS product teams.

What you'll do

  • Build prototypes and proofs of concept, and guide customers in designing, deploying, and adopting GenAI solutions.
  • Create technical materials and deliver customer briefings, deep dives, workshops, and public presentations.
  • Partner with AWS teams and customers to accelerate adoption and translate customer feedback into product requirements.

What they ask for

  • 7+ years of experience in technology domains such as software development, cloud computing, systems engineering, security, networking, or data and analytics.
  • Bachelor's degree in computer science, engineering, mathematics or equivalent.
  • Experience developing technology solutions and advocating end-to-end roadmaps for cloud transformation.
  • Experience communicating with technical and non-technical audiences, including C-level stakeholders, through training, workshops, or publications.

Nice to have

  • Knowledge of large-scale automation and workflow management, database design and implementation, or distributed systems.
  • Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud.

Pay

176,600.00 - 239,000.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary)

Tools

Amazon Bedrock, SageMaker, LangChain, LLAMAIndex, AWS Well Architected Framework

AI focus

Build and deploy GenAI applications; fine-tune models and embedding models; evaluate LLMs, retrieval methods, and LLM-powered agents; apply data augmentation and Responsible AI; advise on ML/GenAI security and compliance.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)