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

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, no boilerplate. Remove cookie/navigation/legal/EEO etc. Also remove duplicated lines, application instructions. Must not create Pay/Schedule/Benefits unless posting actually states them. The posting includes base salary range for location (multiple locations) and mentions benefits (comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave). So we can include Pay and Benefits sections. Schedule not mentioned, so omit. We need sections: About the role (maybe from description), Responsibilities (Key job responsibilities list), Requirements (Basic Qualifications), Qualifications (Preferred Qualifications), Skills (maybe from Preferred Qualifications? Could combine). But we need to avoid filler. Let's parse content. Description: first paragraph about SSAs, GenAI Specialist Solutions Architects, etc. That's about the role. Could be "About the role". Then "Key job responsibilities" list bullet points. Then "About The Team" includes Diverse Experiences, Why AWS?, Inclusive Team Culture, Mentorship & Career Growth, Work/Life Balance. That's more about company culture; maybe could be part of About the role or separate? But we only need sections when there is real specific content. Could include "About the team" but not in allowed headings list? Allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should map content to these. Thus: - About the role: combine introductory paragraphs describing role, GenAI Specialist Solutions Architects, opportunities, etc. Also maybe include "As a Specialist Solution Architect on the GenAI team, you will have the opportunity to work across key GenAI-related services..." That's role specifics. - Responsibilities: the bullet list under "Key job responsibilities". Use

• . - Requirements: Basic Qualifications bullet list? It's listed as: Bachelor's degree, 5+ years of design..., 8+ years of specific technology domain areas experience. Could be list. - Qualifications: Preferred Qualifications list: Cloud Technology Certification, Knowledge of AWS services..., Experience working with end user..., Knowledge of cloud architecture, Knowledge of software development tools and methodologies. - Skills: maybe combine some of the preferred qualifications that are skills? But we could also treat Skills as separate from Qualifications. However we have both Qualifications and Skills sections allowed. Could put technical skills under Skills: Knowledge of AWS services, cloud architecture, software development tools, etc. But we already have Qualifications for certifications etc. Might be okay to put both under Qualifications and leave Skills empty? But we must not emit a heading followed by filler/placeholder text. So if we include Skills heading, must have real specific content. We could extract skills from responsibilities: e.g., "Serve as a trusted technical advisor", "Lead architecture design sessions", "Provide expert-level guidance", etc. Those are more responsibilities. Better to not include Skills if no distinct skill list. Could combine Skills into Qualifications? But we need to follow allowed headings; we can omit Skills if no content. - Benefits: The posting mentions 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. Also mentions sign-on payments and RSUs. So we can include Benefits section with that list. - Pay: 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 they list ranges for three locations: USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually; USA, VA, Arlington - same; USA, WA, Seattle - same. So we can include Pay section with those ranges. - Schedule: not mentioned, omit. We must not include boilerplate like "Amazon is an equal opportunity employer..." etc. Also remove "About The Team" sections like Diverse Experiences, Why AWS?, Inclusive Team Culture, Mentorship & Career Growth, Work/Life Balance. Those are not in allowed headings; we should omit them entirely. Also remove "If you have a disability..." etc. Also remove "Learn more about our benefits at ..." link? That's maybe boilerplate but it's about benefits; we could keep the benefit description but drop the link. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The benefits link is not exactly boilerplate but could be considered navigation? It's a link to learn more; maybe we can keep benefit description but drop the link. Safer to omit the link. Also remove "Company - Amazon Web Services, Inc. Job ID: A10470232". That's metadata; drop. Now produce HTML fragment: only sections with headings

  and content. Structure:

  About the role

  ... paragraphs ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Qualifications

  • ...
  ...

  Benefits

  • ...
  ...

  Pay

  • ...
  ...
  Make sure to preserve all substantive info. Let's extract. About the role content: Combine 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. 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." We need to ensure we didn't include any boilerplate. This is fine. Responsibilities: list bullet points from "Key job responsibilities". Let's extract each line: - 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 We'll put each as
• . Requirements: 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 We'll list. Qualifications: 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 We'll list. Benefits: list: - Sign-on payments - Restricted stock units (RSUs) - 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 - Parental leave We could combine sign-on payments and RSUs as part of compensation but they are mentioned under Pay? Actually they said "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." That's compensation, could be under Pay. But we already have Pay section for base salary range. Could include sign-on and RSUs under Pay as well. However we already have Benefits section for health insurance etc. Let's keep sign-on and RSUs under Pay maybe. But the instruction: include Pay section only if posting actually states them. It does state base salary range and mentions sign-on payments and RSUs. So we can include those in Pay. Thus Pay section: - Base salary range: - Dallas, TX: $153,600.00 - $207,800.00 USD annually - Arlington, VA: $153,600.00 -