Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect
Amazon · Austin, TX · Solutions Architect
About this role
Amazon is hiring a senior-level Solutions Architect in the software engineering function based in Austin, TX. The posting calls out experience with AWS, Redshift, Deep Learning, API Development. Compensation is listed at $176,600–$239,000 per year.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Austin, TX
- Department
- Solutions Architect
- Posted
- Apr 27, 2026
More roles at Amazon
Job description
from Amazon careersAre you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers? Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally. Key job responsibilities - Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services) - Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment - Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions - Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines,…