Solution Architect (AWS / AI)

capstoneintegratedsolutions; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Job summary

Capstone Integrated Solutions is seeking an experienced Solution Architect to own cloud-native AWS architectures for client engagements, including generative AI and agent-based AI features. The role blends hands-on delivery with pre-sales solution design, splitting time roughly evenly between architecture work and client work.

You will translate business needs into architectures, provide estimates, and create documents and diagrams for delivery teams.

Qualifications

• 10+ years in software, infrastructure, or data with architecture experience.
• Professional AWS certification.
• Experience building full-stack cloud apps with AI features.
• Ability to design across application, data, infra, and security.
• Experience leading client discovery and producing designs.
• Strong written and verbal communication; presenting trade-offs.
• Consulting or pre-sales experience with proposals or demos.

Responsibilities

• Lead discovery with client stakeholders to understand systems, requirements, integrations, constraints, and risks.
• Design end-to-end AWS solutions across applications, data, networking, security, and AI, balancing reliability, cost, and scale.
• Specify serverless, event-driven, and container-based applications, including AI retrieval, agent, evaluation, and safety controls.
• Produce architecture documents, decision records, diagrams, and non-functional requirements for delivery teams.
• Support proposals and pursuits with solution designs, estimates, presentations, demonstrations, and proof-of-concept work.
• Set architecture quality expectations, collaborate with engineering leads, and mentor engineers in design practices.

Skills

Solution architecture

AWS expertise

Client discovery

Pre-sales experience

Communication skills

Education

AWS Certified Solutions Architect - Professional

Tools

AWS

AI development tools

Serverless architectures

Job description

Role overview

Own the architecture for client engagements building cloud-native applications on AWS, including services that use generative or agent-based AI. The role combines hands-on client delivery with pre-sales solution design, splitting time roughly evenly between the two. You will turn business needs into architectures and specifications that engineering teams can validate and implement.

Responsibilities

• Lead discovery with client stakeholders to understand existing systems, requirements, integrations, constraints, and risks.
• Design end-to-end AWS solutions across applications, data, networking, security, and AI, balancing reliability, cost, and scale.
• Specify serverless, event-driven, and container-based applications, including appropriate AI retrieval, agent, evaluation, and safety controls.
• Produce architecture documents, decision records, diagrams, and non-functional requirements for delivery teams.
• Support proposals and pursuits with solution designs, estimates, presentations, demonstrations, and proof-of-concept work.
• Set architecture quality expectations, collaborate with engineering leads, and mentor engineers in design practices.

Requirements

• 10+ years in software, infrastructure, or data, including substantial solution architecture experience; at least five years designing production systems on AWS.
• Current AWS Certified Solutions Architect - Professional certification.
• Experience building full-stack cloud applications with AI features, and prototyping or assessing designs with AI development tools.
• Ability to design across application, data, infrastructure, and security, with an understanding of cost, scaling, and failure modes.
• Experience leading client discovery and producing designs and estimates that teams can deliver from.
• Strong written and verbal communication, including presenting technical trade-offs to both executives and engineers.
• Consulting or pre-sales experience with workshops, proposals, estimates, or demos; sound judgment about AI output and production risks.

Nice to have

• AWS Generative AI Developer - Professional or Security - Specialty certification, experience working with AWS Professional Services during scoping, or a retail background.

Benefits and work setup

Full-time, remote within the United States, with travel to client sites as needed. Medical and dental coverage and a 401(k) are offered.