Worldwide Partner Solutions Architect, Data and AI GTM
Amazon · Seattle, WA · Solutions Architect
About this role
Amazon is hiring a mid-level Solutions Architect in the software engineering function based in Seattle, WA. The posting calls out experience with AWS, Redshift, LLMs, RAG. Compensation is listed at $131,300–$177,600 per year.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Solutions Architect
- Posted
- May 12, 2026
More roles at Amazon
Job description
from Amazon careersWe are looking for a strong Partner Solutions Architect – Data and AI in our Worldwide (WW) Data and AI Partner Go-To-Market (GTM) team, with primary focus on Amazon QuickSuite. Ideal candidates are those who have practical working experience across business intelligence, analytics, AI-powered workplace productivity, and the broader data landscape. This experience would include designing and implementing enterprise BI solutions, building interactive dashboards and visualizations, developing data models, architecting AI-powered analytics platforms, and implementing agentic AI systems for workplace automation. Candidates should have a strong understanding of fundamental concepts such as data visualization, SPICE in-memory analytics, embedded analytics, natural language query (NLQ), generative AI for business intelligence, AI agents, large language models (LLMs), retrieval-augmented generation (RAG), dashboard design, dataset modeling, row-level security (RLS), self-service analytics, and AI-powered workflow automation. Expertise in BI platforms, data preparation tools, analytics services, AI-powered productivity solutions, and agentic AI frameworks, leveraging AWS services for use cases including executive dashboards, operational reporting, predictive analytics, AI-driven insights, and autonomous workplace agents, is desired. Knowledge of BI, analytics, and AI platform administration tasks, such as user provisioning, access management, performance optimization, cost management, data governance, model governance, security best practices, and compliance requirements, would also be valuable.…