Genai Solutions Architect, Partner Solutions Architect

Amazon Amazon · Big Tech · Austin, TX · Solutions Architect

This role focuses on enabling AWS partners to build, scale, and sell Generative AI solutions, specifically Foundation Models and Agentic solutions. The Solutions Architect will develop joint solutions, create go-to-market strategies, and drive technical enablement. Key responsibilities include architecting integrated solutions, building proof-of-concepts, influencing partner roadmaps, and creating technical content. The role requires deep technical expertise in GenAI, strong partner relationship management, and the ability to act as a technical liaison.

What you'd actually do

  1. Enable partners to build, market, and sell GenAI (Foundation Models and Agentic Stack) solutions on AWS.
  2. Conduct technical workshops and deep-dives to upskill partner engineering teams.
  3. Develop reference architectures, solution blueprints, reusable integration patterns, and help unblock customer opportunities.
  4. Collaborate with partners to architect integrated solutions combining partner IP with AWS services.
  5. Build proof-of-concepts and demos that showcase joint value propositions.

Skills

Required

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience
  • Experience in a technical role within a sales organization

Nice to have

  • Knowledge of AWS services, market segments, customer base and industry verticals
  • 5+ years of technology/software sales experience
  • Experience architecting/operating solutions built on AWS
  • Knowledge of Foundation Models and Agentic Framework, understanding of transformer architecture, Knowledge of protocols, such as, MCP & A2A, understanding of short term, long term memory and architecture patterns. PERformance knobs for optimizing Agentic solutions.

What the JD emphasized

  • deep technical expertise in Generative AI covering foundation models and Agentic solutions
  • strong partner relationship management skills
  • ability to influence partner product roadmaps and business strategies
  • Knowledge of Foundation Models and Agentic Framework
  • understanding of transformer architecture
  • understanding of short term, long term memory and architecture patterns
  • PERformance knobs for optimizing Agentic solutions

Other signals

  • Enable partners to build, market, and sell GenAI (Foundation Models and Agentic Stack) solutions on AWS.
  • Develop reference architectures, solution blueprints, reusable integration patterns, and help unblock customer opportunities.
  • Collaborate with partners to architect integrated solutions combining partner IP with AWS services.
  • Build proof-of-concepts and demos that showcase joint value propositions.
  • Influence partner product roadmaps to align with AWS strategic priorities.
  • Develop joint go-to-market strategies and create technical content including whitepapers and solution briefs.
  • Enable partner sales teams through training and sales enablement materials.
  • Participate in joint customer engagements and represent AWS at partner events.
  • Build trusted advisor relationships with partner technical and business leaders.
  • Serve as primary technical liaison between AWS and strategic partners.
  • Advocate for partner needs with AWS service teams and drive adoption of new AWS services.
  • Identify emerging trends in the partner ecosystem.
  • Publish technical blogs, speak at industry events, and mentor other Partner Solutions Architects.