Drimva

Amazon

Sr. GenAI Specialist Solutions Architect, SLG/EDU Specialist SA

$154K–$208K

Austin, TX +5 · Senior · Full-time · Posted Aug 28, 2026

Location
Austin, TX
Arlington, VA
Seattle, WA
Santa Clara, CA
New York, NY
Dallas, TX
Experience
5+ years in applications and infrastructures design, implementation, or consulting; 8+ years in specific technology domain areas.
Education
Bachelor's degree.

About the job

Advises public-sector and education customers on generative AI architecture, helps them move solutions into production, and channels customer feedback into AWS product development.

What you'll do

  • Lead GenAI architecture sessions, technical deep-dives, proofs of concept, prototypes, and demos for strategic customers.
  • Advise on model selection, fine-tuning, RAG patterns, and responsible AI; support account planning and technical sales.
  • Create customer-facing content and enablement, present at industry events, and share customer requirements with AWS service teams.

What they ask for

  • Bachelor's degree.
  • 5+ years of design, implementation, or consulting in applications and infrastructures experience.
  • 8+ years of experience in specific technology domain areas, such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
  • Experience communicating with technical and non-technical audiences, including executive-level stakeholders or clients.

Nice to have

  • Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering).
  • Knowledge of Foundation model selection, deployment, fine-tuning, guardrails, knowledge bases.

Pay

USD 153,600.00 - 207,800.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary)

Tools

Amazon Bedrock, Amazon Kiro, Amazon Sagemaker, Amazon Quick, Amazon Q, SageMaker

AI focus

Develops GenAI architectures and production solutions; advises on model selection, fine-tuning, RAG, and responsible AI, and informs AWS product roadmaps through customer feedback.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)