Solutions Architect (Pre-Sales & Delivery) - Remote - USA

We need to output HTML fragment with sections: About the role? Actually the posting includes "About FullStack" then "The Position". We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use only sections that have real specific content. We must not repeat job title as heading. No Job ID etc. Remove boilerplate like EEO, legal, etc. Also remove application instructions. We need to preserve all substantive info. We need to parse content: - About FullStack: description of company. Could be "About the role"? Actually "About FullStack" is about company. Could map to "About the role"? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can use "About the role" heading for company overview? Might be okay. Or we could use "About FullStack" but they said e.g. About the role. Probably they expect "About the role". We'll put company description under that. - Responsibilities: The "What You'll Be Doing" section includes bullet points (actually paragraphs with bold headings). We need to extract list items. The content includes sections: Client Engagement & Pre-Sales Leadership, Architecture & Technical Delivery, Scoping and Commercial Judgment. Each has bullet-like sentences. We'll turn each bullet into

. We'll need to wrap in

. - Requirements: The "What We're Looking For" includes Experience, Core Tech Stack, Cloud Architecture, Bachelor's degree, Fluent English, Sales & Consultation, AI Tooling, Agile Decision-Making, Client-Facing Authority. Also Work Authorization Requirements (must be authorized to work in US). That's a requirement. We'll list those. - Qualifications: Might overlap with Requirements. But we can separate: maybe Qualifications includes Bachelor's degree, Fluent English, Work Authorization? However we need to avoid duplication. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. We can put qualifications as separate section if there is distinct content. The posting includes "What We're Looking For" which seems like qualifications/requirements. Could treat as Requirements. Qualifications maybe not needed. But we need to decide. - Skills: Could list technical skills: JavaScript/TypeScript (Node.js, React), Python (AI), multi-cloud (AWS, Azure, GCP), AI-driven automation tools, etc. Might be covered in Requirements. - Benefits: The "What We Offer" includes Competitive Salary, Paid Time Off, 100% remote work, ability to work with leading startups and Fortune 500 companies, Health/dental/vision insurance, 401(k) w/ 4% match, Ample opportunity for career advancement, Continuing education opportunities. Also maybe "Competitive Salary" is Pay? Actually Pay section is separate. We'll put Benefits as those items except salary. - Pay: The posting mentions "Competitive Salary." That's pay info. So we need a Pay section with that content. It's specific enough. - Schedule: Not mentioned besides 100% remote work (maybe schedule flexible). No explicit schedule. So we should not create Schedule section unless posting states it. It does not. So omit. We must not include boilerplate: EEO, equal opportunity, Applicants Privacy Notice, etc. Also remove "Work Authorization Requirements" maybe we keep as requirement but not as separate heading? It's a requirement; we can include under Requirements. We must not include duplicated lines. Ensure we preserve all substantive info. Let's extract details: About FullStack paragraph: "FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence. We’re Most Proud Of Offering life-changing career opportunities to talented software professionals across the Americas.Building highly-skilled software development teams for hundreds of the world’s greatest companies.Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.Our 4.1-star rating on GlassDoor.Our client Net Promoter Score of 68, twice the industry average." We need to keep that as prose under About the role. Responsibilities: Let's list each bullet. From "What You'll Be Doing": Client Engagement & Pre-Sales Leadership: - Prospecting & Client Presence: Meet directly with prospecting clients, leading technical presentations, discovery sessions, and solution demos with an authoritative, articulate, and presentable style. - Pre-Sales Automation: Integrate and utilize automated AI tools to optimize proposal generation, architecture documentation, client scoping, and pre-sales workflows. - Business Acumen: Translate business requirements into technical roadmaps that align with client ROI, budget constraints, and strategic vision. - Resilience & Agility: Effortlessly navigates tight turnarounds and demanding sales cycles while maintaining an analytical, outcome-focused mindset. Architecture & Technical Delivery: - Lead solution architecture for complex web/mobile applications, cloud migrations, systems integration, platform modernization, and AI-powered solutions. - Architect scalable, maintainable full-stack systems primarily using JavaScript/TypeScript (Node.js, React), supplemented by Python for AI integration. - Design robust multi-cloud environments across AWS, Azure, and GCP, adhering to modern CI/CD, microservices, and API best practices. - Partner with AI/ML engineering teams to explore and integrate intelligent, automated features into enterprise applications. - Provide technical mentorship to development teams, enforcing code quality, security, and architectural standards. Scoping and Commercial Judgment: - Evaluate technical trade-offs through a financial perspective to be able to answer one of the most common questions: “optimize build vs. buy decision” - Structure complex multi-year solution proposals that balance competitive deal pricing with long-term client needs and account strategy - Balance customer needs with technical reality that deliver fast-to-value without over-promising capability We'll turn each bullet into
• . Might need to keep the bold headings inside li? Could keep as plain text. Requirements: From "What We're Looking For": - Experience: 10+ years of professional software engineering and architectural leadership experience. - Core Tech Stack: Advanced proficiency in JavaScript/TypeScript (Node.js and React) and modern Python (specifically applied to AI workflows). - Cloud Architecture: Hands-on experience designing and deploying enterprise solutions across AWS, Azure, or GCP. - Bachelor’s degree in Computer Science, Software Engineering, or a related field (verified via background check). - Fluent English proficiency (verbal and written) for direct international client engagement. - Sales & Consultation: Demonstrated background in pre-sales engineering, technical consulting, or client-facing advisory roles. - AI Tooling: Hands-on experience using AI-driven automation tools in pre-sales or technical workflow contexts. - Agile Decision-Making: Handles fast-moving deal cycles and high-pressure client demands with steady composure. - Client-Facing Authority: Wins trust during prospective client pitches and executive presentations. - Work Authorization Requirements: Applicants must be currently authorized to work in the United States on a full-time basis. FullStack will not sponsor applicants for work visas now or in the future. We'll list each as
• . Skills: Could be derived from Core Tech Stack etc. But we might not need separate Skills if we already have Requirements covering skills. However instruction: Prefer a few substantive sections over many thin ones. We could combine Requirements and Skills into one? But they ask to use headings like Skills if there is real specific content. The posting does not have a separate "Skills" section; skills are embedded in Requirements. We could still create a Skills section listing the technical skills: JavaScript/TypeScript (Node.js, React), Python (AI), AWS/Azure/GCP, AI-driven automation tools, etc. But that would duplicate info. Better to not create Skills section to avoid duplication/thin section. We'll omit Skills. Benefits: From "What We Offer": - Competitive Salary. (but that's Pay) - Paid Time Off (vacation, sick leave, parental leave, holidays). - 100% remote work. - The ability to work with leading startups and Fortune 500 companies. - Health, dental, and vision insurance. - 401(k) w/ 4% match. - Ample opportunity for career advancement. - Continuing education opportunities. We'll separate Pay: Competitive Salary. Benefits: the rest. Pay: Competitive Salary. Schedule: none. Now produce HTML:

  About the role

  FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence. We’re Most Proud Of Offering life-changing career opportunities to talented software professionals across the Americas.Building highly-skilled software development teams for hundreds of the world’s greatest companies.Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.Our 4.1-star rating on GlassDoor.Our client Net Promoter Score of 68, twice the industry average.

  Responsibilities

  • Prospecting & Client Presence: Meet directly with prospecting clients, leading technical presentations, discovery sessions, and solution demos with an authoritative, articulate, and presentable style.
  • Pre-Sales Automation: Integrate and utilize automated AI tools to optimize proposal generation, architecture documentation, client scoping, and pre-sales workflows.
  • Business Acumen: Translate business requirements into technical roadmaps that align with client ROI, budget constraints, and strategic vision.
  • Resilience & Agility: Effortlessly navigates tight turnarounds and demanding sales cycles while maintaining an analytical, outcome-focused mindset.
  • Lead solution architecture for complex web/mobile applications, cloud migrations, systems integration, platform modernization, and AI-powered solutions.
  • Architect scalable, maintainable full-stack systems primarily using JavaScript/TypeScript (Node.js, React), supplemented by Python for AI integration.
  • Design robust multi-cloud environments across AWS, Azure, and GCP, adhering to modern CI/CD, microservices, and API best practices.
  • Partner with AI/ML engineering teams to explore and integrate intelligent, automated features into enterprise applications.
  • Provide technical mentorship to development teams, enforcing code quality, security, and architectural standards.
  • Evaluate technical trade-offs through a financial perspective to be able to answer one of the most common questions: “optimize build vs. buy decision”
  • Structure complex multi-year solution proposals that balance competitive deal pricing with long-term client needs and account strategy
  • Balance customer needs with technical reality that deliver fast-to-value without over-promising capability

  Requirements

  • Experience: 10+ years of professional software engineering and architectural leadership experience.
  • Core Tech Stack: Advanced proficiency in JavaScript/TypeScript (Node.js and React) and modern Python (specifically applied to AI workflows).
  • Cloud Architecture: Hands-on experience designing and deploying enterprise solutions across AWS, Azure, or GCP.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (verified via background check).
  • Fluent English proficiency