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

Amazon Web Services (AWS); Arlington (VA); On-site; USD 154,000 - 208,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Parental leave

Job summary

Amazon Web Services, Inc. in Arlington, VA, is seeking a Specialist Solutions Architect to drive GenAI architectures for EDU/SLG customers. You will lead design sessions, guide model selection, and partner with sales teams to accelerate deals and ensure compliant, scalable solutions.

This role requires deep GenAI knowledge, strong communication with executives, and the ability to mentor field members. Expect ongoing learning, a fast-paced environment, and opportunities to publish content and

Qualifications

• Bachelor's degree in a relevant field.
• 5+ years of design, implementation, or consulting in applications and infrastructures experience.
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.

Responsibilities

• Serve as a trusted technical advisor on Generative AI solutions (Amazon Bedrock, Amazon Q, SageMaker, and related AI/ML services) for strategic Education, State & Local Government, and GovTech/EdTech customers.
• Lead architecture design sessions, technical 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, contributing GenAI domain expertise to accelerate the sales cycle and improve solution accuracy.

Skills

Public speaking

Cross-functional collaboration

Client-facing communication

Education

Bachelor's degree

Tools

AWS services knowledge

GenAI platforms

Job description

Description

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. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

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. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

Key job responsibilities

Serve as a trusted technical advisor on Generative AI solutions (Amazon Bedrock, Amazon Q, SageMaker, and related AI/ML services) for strategic Education, State & Local Government, and GovTech/EdTech customers.

Lead architecture design sessions, technical 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, contributing GenAI domain expertise to accelerate the sales cycle and improve 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, GitHub repos) 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 sessions and mentoring field members.
• Channel customer requirements, pain points, and feature requests to AWS service teams (Bedrock, SageMaker, Amazon Q); 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 competitive landscape.

About The Team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

• Bachelor's degree
• 5+ years of design, implementation, or consulting in applications and infrastructures experience
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.

Preferred Qualifications

• Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
• Knowledge of AWS services, market segments, customer base and industry verticals
• Knowledge of cloud architecture
• Experience in a technical role within a sales organization
• Knowledge of Foundation model selection, deployment, fine-tuning, guardrails, knowledge bases.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually

USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Company

Amazon Web Services, Inc.

Job ID: A10518997