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

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate, navigation, EEO, etc. Must preserve all substantive info. We need to parse the description. Key parts: - Description: AWS Specialist Solutions Architects (SSAs) ... (intro paragraph). This is about the role. Could be "About the role". - Then: "As a Specialist Solution Architect on the GenAI team, you will have the opportunity to work across key GenAI-related services like Amazon Bedrock, Amazon Kiro, Amazon Sagemaker, Amazon Quick to develop architecture, proof-of-concepts, prototypes, and demos to help customers build, deploy, and consume GenAI models in production. Your work will have a direct impact on enabling customer builds and leveraging GenAI models, GenAI AWS revenue, and developing our services and informing product roadmaps via market and customer signals. This position can be based in Washington DC, Seattle or Dallas Fort Worth." - Then "Key job responsibilities" list bullet points. - Then "About The Team" with subsections: Diverse Experiences, Why AWS? (Inclusive Team Culture, Mentorship & Career Growth, Work/Life Balance). This could be considered "About the team" but not required heading; we can put under "About the role" maybe. - Then "Basic Qualifications", "Preferred Qualifications". Those map to Requirements and Qualifications? The instruction: Use headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to map content: - About the role: intro paragraphs describing role, mission, etc. - Responsibilities: the list under "Key job responsibilities". - Requirements: maybe Basic Qualifications? Or "Requirements" could be basic qualifications. - Qualifications: maybe Preferred Qualifications. - Skills: maybe list of skills from preferred qualifications? Could extract: Cloud Technology Certification, Knowledge of AWS services, market segments, customer base and industry verticals, Experience working with end user or developer communities, Knowledge of cloud architecture, Knowledge of software development tools and methodologies. Also maybe "Obtain SA Associate certification within 6 months and SA Pro certification within 18 months (role requirements)" - that could be under Requirements or Qualifications. - Benefits: The paragraph about benefits: "Amazon also offers comprehensive benefits including health insurance ... 401(k) matching, paid time off, and parental leave." Also mention sign-on payments and RSUs. Also mention "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." So we can include Benefits section. - Pay: The salary ranges: "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." Then list: 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. So we can include Pay section with those. - Schedule: Not mentioned. No schedule info (like full-time, remote). So we should NOT include Schedule section. Also we need to avoid repeating job title as heading. No Job ID. We need to remove boilerplate: EEO, accommodation link, etc. Also remove "About The Team" subsections? They are substantive about culture, could be included under About the role or maybe a separate section like "About the team" but not in allowed headings. Since allowed headings are limited, we could incorporate that content into About the role or maybe under Qualifications? Better to put under About the role as it describes team culture. We must not create sections with filler text. So only include sections where we have real content. Thus sections: - About the role: combine introductory paragraphs and team culture info. - Responsibilities: list of responsibilities. - Requirements: Basic Qualifications. - Qualifications: Preferred Qualifications + certification timeline. - Skills: maybe list of specific skills/knowledge from preferred qualifications. - Benefits: benefits paragraph. - Pay: salary ranges. We need to ensure we don't invent content. Let's extract precisely. Intro paragraphs: "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. Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also 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 are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Sellers, Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer. SSAs help build and scale go-to-market plans that turn AWS ideas into multi-billion-dollar businesses in State & Local Government and Education Industry. Our teams include specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam." Then later: "As a Specialist Solution Architect on the GenAI team, you will have the opportunity to work across key GenAI-related services like Amazon Bedrock, Amazon Kiro, Amazon Sagemaker, Amazon Quick to develop architecture, proof-of-concepts, prototypes, and demos to help customers build, deploy, and consume GenAI models in production. Your work will have a direct impact on enabling customer builds and leveraging GenAI models, GenAI AWS revenue, and developing our services and informing product roadmaps via market and customer signals. This position can be based in Washington DC, Seattle or Dallas Fort Worth." Then "About The Team" subsections: - 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?: includes paragraphs about AWS being comprehensive cloud platform, pioneering, etc. - Inclusive Team Culture: about affinity groups, inclusion events. - Mentorship & Career Growth: about knowledge-sharing, mentorship. - Work/Life Balance: about flexibility. We can incorporate these under About the role. Now Responsibilities list: "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" Note: The last two bullet points about certification and staying current could be considered requirements/qualifications. But they are under responsibilities list. We could keep them under Responsibilities as they are part of responsibilities. However they also could be moved to Requirements/Qualifications. The instruction: preserve ALL substantive information; do not invent or summarize away detail. So we need to keep them somewhere. If we keep them under Responsibilities, that's fine. But we also have Basic Qualifications and Preferred Qualifications sections. 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" 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 Experience working with end user or developer communities Knowledge of cloud architecture Knowledge of software development tools and methodologies" Also note: "Amazon is an equal opportunity employer..." we must remove EEO boilerplate. Benefits paragraph: "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." Also earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Also "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." Thus Benefits section should include health insurance etc and sign-on payments/RSUs. Pay section: list salary ranges for three locations. We need to output HTML fragment only, no markdown fences. We'll produce something like:

About the role

... paragraphs ...

Responsibilities

• ...
...

Requirements

• 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

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
• Experience working with end user or developer communities
• Knowledge of cloud architecture
• Knowledge of software development tools and methodologies