Amazon
Sr. Solutions Architect, Software and Technology
$154K–$239K
Austin, TX +4 · Senior · Full-time · Posted Sep 24, 2026
- Location
- Austin, TX
Seattle, WA
Irvine, CA
Denver, CO
San Francisco, CA - Experience
- 8+ years in specific technology domains; 3+ years designing, implementing, or consulting on applications and infrastructure.
- Education
- Bachelor's degree in computer science, engineering, mathematics or equivalent.
About the job
Leads AWS customer architecture strategy and validates recommendations through hands-on prototypes, proofs of concept, and AI-driven solutions for software and technology customers.
What you'll do
- Build and deploy prototypes, proofs of concept, and infrastructure in customer sandboxes to validate architectures and accelerate adoption.
- Own architectural decisions, diagnose technical risks, and guide customers’ cloud and AI strategy through implementation.
- Partner with sales and customer leaders to expand AWS adoption, deliver training, and share customer feedback and technical content.
What they ask for
- 8+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- 3+ years of experience designing, implementing, or consulting on applications and infrastructure.
- Bachelor's degree in computer science, engineering, mathematics or equivalent.
- Demonstrated hands-on ability to build and validate solutions, and communicate with technical and non-technical audiences, including executive stakeholders.
Nice to have
- Experience with end-user or developer communities, or in the Software and Technology segment, startups, or ISVs.
- Production AI/ML experience, AI-augmented development workflows, technical content creation, or evidence-based influence on customer technical direction.
Pay
153,600.00 - 207,800.00 USD annually (base salary); 176,600.00 - 239,000.00 USD annually (base salary)
Tools
Kiro, Claude Code, Bedrock, CDK, Terraform, GenAI, RAG
AI focus
Build and validate agentic AI and other customer solutions; apply multi-agent orchestration, RAG pipelines, foundation model integration, and AI-augmented development.
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