Solutions Architect

We need to output HTML fragment with sections: h3 headings for sections present. Must not repeat job title. Must not include Job ID etc. Must include only sections with real content. Remove boilerplate, EEO, etc. Must preserve all substantive info. We need to parse the job posting. Content: - Intro paragraph about CapTech (maybe part of overview). Could be considered "About the role" or "Overview". The posting includes "Job Description Overview" then description. We need sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections have content. From posting: - Overview: "We are seeking an experienced Solutions Architect – AI to design, lead, and deliver innovative artificial intelligence solutions for our clients. This role blends deep technical expertise with strong consulting skills, enabling you to translate business challenges into scalable, AI-driven architectures. You will work closely with client stakeholders, delivery teams, and leadership to drive successful outcomes across a variety of industries." That could be "About the role" or "Overview". Use heading

About the role

maybe. - Key Responsibilities: list bullet points. - Qualifications: Required Qualifications and Preferred Qualifications. - Key Skills & Competencies: list. - Additional Information: includes benefits, career paths, flexible work, etc. This could be Benefits section. - Pay: Not mentioned. So we should NOT include Pay section. - Schedule: Not mentioned explicitly (maybe flexible work environment). There's mention of flexible work environment, remote, onsite as requested. That's schedule info? Might be considered Schedule but not explicit. The instruction: never create Pay/Schedule/Benefits sections unless posting actually states them. Benefits: they mention benefits (generous PTO, health coverage, disability insurance, paid family leave, extended benefits, Modern Health, Carrot Fertility, Fringe, Employee Resource Groups, Philanthropic Partnerships, 401(k) Matching). So we can include Benefits section. Schedule: Not explicit; they mention flexible work environment, remote when compatible, must be available to work onsite as requested. That's somewhat schedule but not explicit schedule like "Full-time", "Part-time". Probably we should not create Schedule section unless explicit. So omit. Pay: none. Thus sections: About the role, Responsibilities, Requirements (maybe combine Required Qualifications?), Qualifications (maybe Preferred?), Skills, Benefits. But we need to follow instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can use those exact headings. We need to decide what goes under each. - About the role: overview paragraph. - Responsibilities: list from Key Responsibilities. - Requirements: maybe Required Qualifications. - Qualifications: maybe Preferred Qualifications? Or we could combine Required and Preferred under Qualifications with subheadings? But instruction: use

for section headings; we can have multiple sections. Could have Requirements (Required Qualifications) and Qualifications (Preferred Qualifications). That seems okay. - Skills: Key Skills & Competencies. - Benefits: Additional Information benefits. We must preserve all substantive information; do not invent or summarize away detail. Must not repeat job title. Must not include boilerplate like EEO, visa sponsorship, etc. Must remove duplicated lines. We need to extract bullet points. Let's extract responsibilities: From "Key Responsibilities": - Client Engagement & Advisory - Partner with client stakeholders to understand business objectives and identify opportunities to leverage AI/ML solutions - Serve as a trusted advisor, guiding clients on AI strategy, roadmap development, and best practices - Lead workshops, discovery sessions, and solution envisioning engagements - Solution Architecture & Design - Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring - Define scalable, secure, and high-performing solutions across cloud platforms (AWS, Azure, GCP) - Evaluate and recommend tools, frameworks, and platforms for AI development (e.g., LLMs, NLP, computer vision) - AI/ML Delivery Oversight - Provide technical leadership across AI initiatives from concept through production - Collaborate with data scientists, engineers, and developers to ensure successful implementation - Establish AgenticOps practices, including CI/CD for models, model versioning, and lifecycle management - Pre-Sales & Business Development - Support sales teams with solutioning, proposals, and client presentations - Develop reusable assets, accelerators, and AI solution offerings - Contribute to thought leadership, whitepapers, and go-to-market strategies - Governance & Best Practices - Ensure responsible AI practices, including ethics, bias mitigation, and compliance - Define architecture standards, design patterns, and governance frameworks - Stay current on emerging AI trends and technologies We need to preserve all. Use

• for any list of duties/requirements/benefits. So each bullet becomes
• . Could group under subheadings? Not required; just list. But we might want to keep the subheadings as plain text? The instruction: use

  for section headings only. Subheadings inside responsibilities are not headings; we could keep them as plain text or . But we must preserve all substantive information; we can keep them as plain text before the list. Simplify: For each responsibility category, we could include a

  with the category title, then

  with items. But we must not invent new headings; using

  is fine. Similarly for Required Qualifications list. Let's extract Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field - 10 + years of experience in technology consulting, software architecture, or solution architecture - Hands-on experience designing and delivering AI/ML solutions in production environments - Experience with API design, microservices architecture, and containerization (Docker, Kubernetes) - Experience working with Frontier AI models, local and open source models - Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services - Proficiency in multiple programming languages - Experience designing data architectures and working with large-scale data platforms Preferred Qualifications: - Familiarity with tools such as LangChain, vector databases, and prompt engineering techniques - Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake) - AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer) - Experience with Legacy Systems and Architectures including SaaS Key Skills & Competencies: - Strong problem-solving and analytical thinking - Excellent communication and stakeholder management skills - Ability to translate complex technical concepts into business value - Leadership and mentoring capabilities - Adaptability in fast-paced, client-facing environments Benefits from Additional Information: We need to capture all benefits listed: - "Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs." - "CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs." - "Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs." - "Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths" - "Modern Health – A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs" - "Carrot Fertility – Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care" - "Fringe – A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more" - "Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations" - "Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities." - "401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness" Also mention "CapTech is committed to providing a flexible work environment..." repeated; we can include once. We must not include boilerplate like EEO, visa sponsorship, etc. Also remove duplicated lines (the flexible work environment appears twice). We'll include once. We need to output only HTML fragment. Let's structure:

  About the role

  We are seeking an experienced Solutions Architect – AI to design, lead, and deliver innovative artificial intelligence solutions for our clients. This role blends deep technical expertise with strong consulting skills, enabling you to translate business challenges into scalable, AI-driven architectures. You will work closely with client stakeholders, delivery teams, and leadership to drive successful outcomes across a variety of industries.

  Responsibilities

  Client Engagement & Advisory

  • Partner with client stakeholders to understand business objectives and identify opportunities to leverage AI/ML solutions
  • Serve as a trusted advisor, guiding clients on AI strategy, roadmap development, and best practices
  • Lead workshops, discovery sessions, and solution envisioning engagements

  Solution Architecture & Design

  • Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring
  • Define scalable, secure, and high-performing solutions across cloud platforms (AWS, Azure, GCP)
  • Evaluate and recommend tools, frameworks, and platforms for AI development (e.g., LLMs, NLP, computer vision)

  AI/ML Delivery Oversight

  • Provide technical leadership across AI initiatives from concept through production
  • Collaborate with data scientists, engineers, and developers to ensure successful implementation
  • Establish AgenticOps practices, including CI/CD for models, model versioning, and lifecycle management

  Pre-Sales & Business Development

  • Support sales teams with solutioning, proposals, and client presentations
  • Develop reusable assets, accelerators, and AI solution offerings
  • Contribute to thought leadership, whitepapers, and go-to-market strategies

  Governance & Best Practices

  • Ensure responsible AI practices, including ethics, bias mitigation, and compliance
  • Define architecture standards, design patterns, and governance frameworks
  • Stay current on emerging AI trends and technologies

  Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • 10 + years of experience in technology consulting, software architecture, or solution architecture
  • Hands-on experience designing and delivering AI/ML solutions in production environments
  • Experience with API design, microservices architecture, and containerization (Docker, Kubernetes)
  • Experience working with Frontier AI models, local and open source models
  • Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services
  • Proficiency in multiple programming languages
  • Experience designing data architectures and working with large-scale data platforms

  Qualifications

  • Familiarity with tools such as LangChain, vector databases, and prompt engineering techniques
  • Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake)