Amazon
Sr. Manager, Solutions Architecture - Data & AI, Strategic Accounts
$201K–$299K
Seattle, WA +4 · Manager · Full-time · Posted Oct 6, 2026
- Location
- Seattle, WA
Arlington, VA
Santa Clara, CA
New York, NY
San Diego, CA - Experience
- 7+ years of management of technical, enterprise customer facing resources or equivalent experience; 10+ years of infrastructure architecture, database architecture and networking experience.
- Education
- Bachelor's degree.
About the job
Leads a team of specialist Solutions Architects advising strategic enterprise customers on data modernization, AI infrastructure, and production AI architectures, while shaping AWS technical direction and product roadmaps.
What you'll do
- Set technical direction and develop a team of specialist Solutions Architects, including hiring, coaching, and team development.
- Advise senior customer executives and architect solutions spanning data governance, AI training and inference, and agentic systems.
- Develop reference architectures, represent AWS externally, and partner with service teams to influence product roadmaps.
What they ask for
- 7+ years of management of technical, enterprise customer facing resources or equivalent experience.
- 10+ years of infrastructure architecture, database architecture and networking experience.
- Bachelor's degree.
- Experience architecting or operating cloud solutions, modernizing customer requirements to the cloud, and hiring and managing technical teams.
Nice to have
- Experience in people management and CXO level engagement.
- Familiarity with AI/ML training and inference infrastructure, data architectures, and open source contributions.
Pay
201,000.00 - 272,000.00 USD annually (base salary); 221,100.00 - 299,200.00 USD annually (base salary); 201,000.00 - 272,000.00 USD annually (base salary); 201,000.00 - 272,000.00 USD annually (base salary)
Tools
Trainium, Azure, AWS, GCP, OCI, Kafka, Kinesis, Flink
AI focus
Leads customer work on AI readiness, accelerator-based training and inference optimization, semantic layers and context graphs, and reliable agentic architectures grounded in governed enterprise data.
Model-written summary · the original posting is authoritative