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 - Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks - Support partner competency development and certification in AI/ML and data analytics domains A day in the life Review and respond to partner technical questions via email and Slack. USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Houston - 153,600.00 - 207,800.00 USD annually USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually