Amazon Web Services, Inc.
Technology
SeniorSolutionsArchitect-DataAnalytics&AI,PartnerSolutionsArchitect
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“Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect at Amazon Web Services, Inc.. Skills: Data Analytics, AI/ML, Solutions Architecture, Agentic AI. Architect scalable AI/ML and data solutions. Provide technical leadership”
What You'll Achieve.
Drive sustainable value; Accelerate AWS adoption; Drive partner revenue growth; Improve quality of solutions
Industry & Context.
Troubleshoot deployment issues; Optimize performance
What They're Looking For.
Must Have
Bachelor's degree, 5+ years design, implementation, or consulting in applications and infrastructures, 2+ years technology/software sales experience
Nice to Have
Experience with Data & AI technologies, Experience with data architecture, AI/ML solution design, Experience architecting and implementing AI/ML solutions at scale, AWS Certifications, Experience in a customer-facing role, Experience with Deep Learning architectures, Experience with Agentic AI Solution Framework, Experience architecting production-grade MLOps pipelines, Background in partner enablement, technical training, or thought leadership, Experience working with consulting partners, Publications, presentations, or speaking engagements, Business acumen
What You'll Do.
Architect scalable AI/ML and data solutions
Provide technical leadership
Lead solution ideation sessions
Conduct architectural reviews
Design agentic AI solutions
Guide partners in building autonomous AI systems
Drive partner enablement
Collaborate with AWS product teams
and architectural excellence
Support partner competency development
Respond to partner technical questions
Validate partner solution designs
Write integration guides
Conduct hands-on workshops
Collaborate with AWS account teams
Update technical documentation
Update reference architectures
Troubleshoot partner deployment issues
Meet with partner product managers/CPO/CTO
Create demo environments
Present solution to Partner's customers
Provide feedback to AWS service teams
How You'll Work.
Team & Collaboration
Cross-functional teams; AWS account teams; AWS product teams
Communication Scope
Technical writing; Executive presentations
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 service roadmaps
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