About The Position

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. At AWS, we are searching for a Senior Partner Solutions Architect to join our Worldwide Partner Consulting COE (CCOE) team. This is an ideal role for someone who thrives at the intersection of emerging technologies and partner innovation — identifying, onboarding, and nurturing next-generation startups and consulting partners who are redefining how enterprises adopt AI/ML, Generative AI, agentic systems, and other critical growth technologies. As a Sr. Partner Solutions Architect, you will serve as a trusted technical advisor and innovation catalyst — helping partners move from proof-of-concept to production-grade, scalable solutions. You will work directly with a curated cohort of high-potential startup and consulting partners to develop, validate, and scale reusable patterns that accelerate AWS adoption across the AWS partner community and regional field teams. You will support strategic initiatives that identify pioneering System Integrators (SIs) and Startups demonstrating exceptional capabilities in growth domains such as Generative AI, Agentic AI, IoT/Edge, Robotics, Quantum Computing, and Space Tech. You will engage with partners globally, providing deep technical and business expertise to help them design, architect, and validate differentiated solutions built on AWS. You will translate partner innovations into prescriptive, scalable blueprints — including reference architectures, implementation playbooks, and go-to-market frameworks — that AWS field teams and the broader partner community can replicate across regions and industries. In this role, you will collaborate closely with Regional, Specialist, and COE stakeholders to drive alignment and amplify partner impact across the global field organization. Candidates should have deep experience in emerging technology domains, particularly Generative AI and Agentic AI systems, with a strong background in partner or customer-facing technical roles. You will be equally comfortable whiteboarding cloud architectures with engineers as you are presenting innovation patterns to executive audiences. Deep familiarity with AWS services is strongly preferred. Experience working with or within consulting partners, GSIs, or technology startups is highly valued.

Requirements

  • Bachelor's degree or above in computer science, computer engineering, or related field
  • 10+ years of experience in technology roles, with deep expertise in one or more emerging technology domains such as Generative AI, agentic AI systems, machine learning, cloud-native architectures, or enterprise modernization.
  • 7+ years of experience in partner-facing, customer-facing, or consulting roles involving complex solution architecture and technical advisory.
  • 7+ years of experience designing and implementing scalable, production-grade AI/ML or cloud solutions, with demonstrated understanding of compliance, security, observability, and governance requirements.
  • 5+ years of experience working with or within System Integrators (SIs), Global SIs (GSIs), Business Consulting & Advisory Partners (BCAPs), or technology startups in a technical capacity.

Nice To Haves

  • Experience in AWS products and services, including pricing and technical knowledge
  • Experience architecting and operating solutions built on AWS, including AI/ML services (Amazon Bedrock, SageMaker), data and analytics services, and cloud-native infrastructure.
  • Hands-on experience with agentic AI frameworks, multi-agent orchestration, Retrieval-Augmented Generation (RAG), or Process-to-Agent (P2A) transformation patterns.
  • Knowledge of Responsible AI principles, governance frameworks, and regulatory compliance requirements relevant to enterprise AI deployments.
  • Experience developing reusable technical assets such as reference architectures, implementation playbooks, or go-to-market frameworks for partner or field enablement.
  • Knowledge of AWS services, market segments, customer base, and industry verticals.
  • Strong written and verbal communication skills, with experience authoring technical publications, white papers, or blog posts.

Responsibilities

  • Serve as a trusted technical advisor and strategic partner to a select cohort of Partners — SIs/GSIs, Technology/ISVs, and Startup partners in critical growth domains including Agentic AI, GenAI-powered Modernization, Security, Observability, IoT/Edge, Robotics, Quantum Computing.
  • Lead deep architectural discussions and design exercises with partners to develop, validate, and refine differentiated solutions and offerings built on AWS.
  • Develop and deliver prescriptive, scalable blueprints that capture partner innovations, including reference architectures, implementation playbooks, business cases, go-to-market strategies, and sales motions — for use by AWS regional field teams and the broader partner community.
  • Apply and refine consistent discovery and validation frameworks to qualify, onboard and incubate partners based on the defined criteria.
  • Collaborate with Partner Development Managers (PDMs) to formulate and execute go-to-market strategies, drive Strategic Collaboration Agreement (SCA) milestones, and support co-innovation, co-building, co-investment, and co-selling motions with partners.
  • Validate partner architectures, deliverables, SOWs, and project plans; support partner-led customer engagements to ensure production-grade quality, security, compliance, and governance standards are met from day one.
  • Capture and share AWS best-practice knowledge with the broader Solutions Architect and Partner community.
  • Share partner and customer feedback with internal product management and engineering teams to help shape the future of AWS services in emerging technology domains.
  • Author and contribute to AWS customer-facing publications such as blog posts, case studies, white papers, and proof of concepts focused on agentic AI and other emerging technology use cases.
  • Represent AWS at industry events, partner summits, and conferences; deliver technical webinars and drive technical enablement for strategic partners.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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