1 day ago
Base Salary
$201k - $299k/yr
Responsibilities
- Set the technical vision and strategic direction for a team of specialist Solutions Architects across data architecture, AI/ML infrastructure, and open-source domains.
- Advise enterprise CAIOs, CTOs, CDOs, and engineering executives on AI readiness, data modernization, inference optimization, and agentic architectures.
- Architect complex customer solutions spanning data governance, accelerator optimization, training and inference infrastructure, and AI application design.
- Hire, onboard, coach, and develop senior technical talent while building an inclusive, high-performing team culture.
- Develop prescriptive architectures, reference implementations, competitive positioning, conference presentations, and technical keynotes.
- Partner with AWS service teams, peer SA leaders, Professional Services, and specialist organizations to influence roadmaps and deliver unified solutions.
- Drive open-source engagement and contribution across data and AI ecosystems.
Requirements
- 7+ years managing technical, enterprise customer-facing resources or equivalent experience.
- 10+ years of infrastructure architecture, database architecture, and networking experience.
- Bachelor’s degree.
- Experience architecting and operating solutions on a cloud provider such as AWS, Azure, GCP, or OCI.
- Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud.
- Experience hiring, developing, and managing high-performing technical teams.
- Preferred: people management and CXO-level engagement experience.
- Preferred: data warehouse architecture, data modeling, infrastructure components, ETL/ELT, reporting and analytics environments, data structures, and hands-on SQL coding.
- Preferred: knowledge of batch and streaming architectures including Kafka, Kinesis, Flink, Storm, or Beam.
- Preferred: experience defining requirements, prioritizing features, influencing product roadmaps, writing technical articles, speaking at conferences, contributing to open source, and working with AI/ML training and inference infrastructure.
Benefits
- Comprehensive health insurance including medical, dental, vision, prescription, life and AD&D insurance, employee assistance, mental health support, medical advice, flexible spending accounts, and adoption and surrogacy reimbursement.
- 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units may be included in the Amazon compensation package.
- Position locations include San Diego, California; New York, New York; Arlington, Virginia; and Seattle, Washington.
Tech Stack
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.