Sr. GenAI Specialist Solutions Architect, SLG​/EDU Specialist SA

Sr. GenAI Specialist Solutions Architect, SLG/EDU Specialist SA

Job :  | Amazon Web Services, Inc.

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. They guide customers as they refactor an application or design new cloud-based systems.

Specialist SAs capture customer feedback, advocate for roadmap enhancements, and anticipate customer requirements while working backwards from their needs. As domain experts, SSAs participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.

GenAI Specialist Solutions Architects combine technical skills in AIML, business acumen, and technical sales skills. They support customers throughout the engagement lifecycle and collaborate with AWS Sellers, Professional Services, and Partners to help customers get to production faster.

As a Specialist Solution Architect on the GenAI team, you will work with key GenAI services such as Amazon Bedrock, Amazon Kiro, Amazon Sage Maker, and Amazon Quick to develop architecture, proof‑of‑concepts, prototypes, and demos that help customers build, deploy, and consume GenAI models in production. Your work impacts customer builds, GenAI revenue, and our product roadmaps.

Position location:

Washington DC, Seattle, or Dallas Fort Worth.

• Serve as a trusted technical advisor on Generative AI solutions (Amazon Bedrock, Amazon Q, Sage Maker, and related AI/ML services) for strategic Education, State & Local Government, and Gov Tech/EdTech customers.
• Lead architecture design sessions, deep dives, and proof‑of‑concept engagements for complex GenAI opportunities.
• Provide expert‑level guidance on GenAI architectures, model selection, fine‑tuning strategies, RAG patterns, and responsible AI implementation.
• Partner with account teams on strategic account planning, accelerating the sales cycle and improving solution accuracy.
• Present at AWS Summits, re:
  
  Invent, and industry conferences on GenAI topics relevant to public sector customers.
• Create and publish external‑facing content (blogs, whitepapers, demos, workshops, Git Hub repositories) showcasing GenAI best practices for EDU/SLG/XTECH use cases.
• Deliver internal enablement sessions aligned with EDU/SLG/XTECH customer requirements and organizational tech goals.
• Build the team’s external credibility and visibility as recognized EDU/SLG GenAI domain experts through internal enablement and mentoring field members.
• Channel customer requirements and feature requests to AWS service teams (Bedrock, Sage Maker, Amazon Q) and advocate for public sector‑specific capabilities and compliance requirements.
• Partner with service teams on beta programs, roadmap reviews, and closed‑loop feedback to ensure EDU/SLG customer needs shape product development.
• Contribute to internal knowledge bases, newsletters, and Highspot content that scale specialist impact across the organization.
• Obtain SA Associate certification within 6 months and SA Pro certification within 18 months (role requirements).
• Stay current on rapidly evolving GenAI services, emerging architectures, and the competitive landscape.

The team focuses on State & Local Government and Education Industries, combining specialist sales and specialist solutions architecture to deliver customer‑obsessed solutions that help businesses run more effectively. It values diverse experiences, curiosity, connection, mentorship, career growth, and work/life balance.

• Bachelor’s degree.
• 5+ years of design, implementation, or consulting experience in applications and infrastructures.
• 8+ years of specific technology domain experience (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).

• Cloud Technology…