Amazon Web Services, Inc.
Solutions Architect, Solution Architect, Cloud Computing
SeniorSolutionsArchitect-DataAnalytics&AI,PartnerSolutionsArchitect
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“Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect at Amazon Web Services, Inc.. Skills: AI/ML, Data architecture, Solution architecture, AWS. Architect scalable AI/ML solutions. Design scalable AI/ML solutions”
What You'll Achieve.
Drive sustainable value; Accelerate AWS adoption; Design wins; Partner revenue growth; API adoption; Quality of solutions
Industry & Context.
Troubleshoot deployment issues; Optimize performance
What They're Looking For.
Must Have
Bachelor's degree, 5+ years applications/infrastructures experience, 2+ years technology/software sales experience
Nice to Have
Experience in AI/ML technologies, Experience in data architecture, Experience with agentic AI solutions, Experience with Amazon Bedrock AgentCore, Experience with AWS Strands Agents SDK, Experience with multi-agent orchestration patterns, Experience with supervisor agents, Experience with agent-to-agent collaboration, Experience with agentic frameworks integration, Experience with Agentic protocols, Experience with Model Context Protocol (MCP), Experience with Agent-to-Agent (A2A), Experience with memory management strategies, Experience with industry conferences
What You'll Do.
Architect scalable AI/ML solutions
Design scalable AI/ML solutions
Architect data solutions
Design data solutions
Provide technical leadership
Guide solution architecture
Lead solution ideation sessions
Lead technical account planning
Conduct architectural reviews
Provide best practices guidance
Design agentic AI solutions
Implement agentic AI solutions
Guide partners building AI systems
Drive partner enablement
Conduct technical workshops
Conduct immersion days
Create thought leadership content
Collaborate with AWS product teams
Provide partner feedback
Influence AI/ML roadmaps
Influence data service roadmaps
Ensure architectural excellence
Support partner competency development
Support partner certification
How You'll Work.
Team & Collaboration
Strategic partners; AWS account teams; AWS product teams; Partner engineering teams; Partner product managers; Partner CPO; Partner CTO
Communication Scope
Technical questions; Architecture reviews; Present solution
Process & Methodology
Technical account planning
Full Job Description
Are 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, and AI solution patterns - Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns - Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases - Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture - Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data s
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