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

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID. Must not include boilerplate like EEO, legal, etc. Must preserve all substantive info. We need to parse the description. Key parts: - Description paragraph about AWS Specialist Solutions Architects (SSAs) and GenAI Specialist Solutions Architects. - "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 subheadings: Diverse Experiences, Why AWS?, Inclusive Team Culture, Mentorship & Career Growth, Work/Life Balance. Those are more about company culture; we might include them under "About the role" or maybe separate sections? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should map content to those headings. Likely: - About the role: description of role, what they do, location. - Responsibilities: the bullet list under "Key job responsibilities". - Requirements: Basic Qualifications. - Qualifications: Preferred Qualifications. - Skills: maybe combine knowledge of AWS services etc? Could be part of Qualifications. But we can create Skills section if there is explicit skill list. The posting includes "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". Those could be Skills. - Benefits: The paragraph about benefits: health insurance, 401(k) matching, paid time off, parental leave, etc. Also mention sign-on payments and RSUs. Also link to benefits page. - Pay: The base salary range listed for locations. - Schedule: Not mentioned; we should not create Schedule section if no content. We must not include filler like "commensurate with experience". The pay range is specific. We must not include duplicated lines. Remove boilerplate: EEO, accommodation link, etc. Also remove "Company - Amazon Web Services, Inc." maybe not needed. Also remove "Job ID: A10470232". Also remove navigation/legal etc. We must preserve all substantive information. So we need to keep location info (Washington DC, Seattle or Dallas Fort Worth). Also mention that position can be based in those locations. We need to include the bullet list responsibilities exactly as given, but we can format as

• . Must not invent or summarize away detail. We need to keep the 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. We might also include "Obtain SA Associate certification within 6 months and SA Pro certification within 18 months (role requirements)" - that is under responsibilities? Actually it's listed after responsibilities: "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". That seems like a requirement or qualification. Could be placed under Requirements or Qualifications. Since it's a requirement, we can put under Requirements. Also "Stay current on rapidly evolving GenAI services, emerging architectures, and competitive landscape" is a requirement. We need to avoid duplication: The responsibilities list includes many items; we should keep them. Now, about Benefits: The 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)." So include that. Pay: The base salary range for this position is listed below. Then three lines: 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. We should include Pay section with those ranges. Schedule: Not present, so omit. Now, we need to decide what goes under About the role. Likely the introductory paragraphs describing the role, plus location. Also maybe the "As a Specialist Solution Architect on the GenAI team..." paragraph. We must not repeat the job title as a heading. So we won't put "Specialist Solutions Architect" as heading. We need to output only HTML fragment, no /, no markdown. We'll produce something like:

  About the role

  ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Qualifications

  • ...
  ...

  Skills

  • ...
  ...

  Benefits

  ...

  Pay

  • ...
  ...
  We must ensure we don't create empty sections. Now, let's craft the content. About the role: Combine the initial description paragraphs. Original text: "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. 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 preserve all that. We'll put in

  maybe multiple paragraphs. We should not include the word "Description" at start; it's just a label. We'll start with the sentences. Now Responsibilities: The bullet list under "Key job responsibilities". Let's extract each bullet: - 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 bullets are actually requirements but they appear under responsibilities list; we could keep them under Responsibilities as they are listed there. However we also have a Requirements section; we might duplicate if we also put them there. To avoid duplication, we should follow the posting: they are under "Key job responsibilities". So we keep them in Responsibilities. Then Requirements section will contain Basic Qualifications only. Qualifications will contain Preferred Qualifications. Skills maybe separate. But we also have "Stay current on rapidly evolving GenAI services, emerging architectures, and competitive landscape" which is a requirement; but it's in responsibilities list; we keep it there. Now 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 put each as

• . Qualifications: Preferred Qualifications: - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) - Knowledge of AWS services,