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Solution Architect – AWS, AI
Capstone Integrated Solutions. Translate client problems into technical solutions and own the architecture the engineering team builds against .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing end-to-end AWS cloud-native architectures, integrating AI features, and translating complex client requirements into actionable technical solutions. Strong ability to mentor engineering teams and communicate effectively with stakeholders to align architecture decisions with business objectives.
Highest-signal resume keywords
AWS Cloud-Native Architecture DesignSolution Architecture DocumentationAI Development Tools PrototypingClient Communication and EngagementAWS Certified Solutions Architect – Professional
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solution ArchitectureEnd-to-End Solution DesignFull-Stack Application DevelopmentCloud ComputingSecurity ArchitectureData ArchitectureCost AnalysisScaling SolutionsAI IntegrationPrototyping
Soft Skills
Strong Written CommunicationStrong Verbal CommunicationBusiness AcumenMentoringClient Engagement
Tools & Technologies
AWSClaude CodeKiroAmazon BedrockReactAngularServerless ServicesEvent-Driven ServicesContainer-Based ServicesArchitecture Decision Records
Certifications & Qualifications
AWS Certified Solutions Architect – ProfessionalAWS Certified Generative AI Developer – ProfessionalAWS Certified Security – Specialty
Industry Keywords
Solution DesignPre-Sales ConsultingArchitecture ReviewsDiscovery WorkshopsTechnical Specifications
Tech Stack
Tools & technologiesAngularAWSCloudPythonReactTypeScript
About the role
Key responsibilities & impact- Translate client problems into technical solutions and own the architecture the engineering team builds against
- Lead solution design for engagements, including architecture, technology choices, integration, security, and cost
- Author technical specifications, solution architecture documents, architecture decision records, non-functional requirements, and diagrams
- Translate business requirements into designs and roadmaps and explain trade-offs in business terms
- Partner with the Lead Engineer on architecture and implementation decisions
- Support pursuits with solution design, estimates, proposals, statements of work, presentations, demos, and proof-of-concept builds
- Mentor engineers on design patterns and architectural thinking
- Design AWS cloud-native architectures using serverless, event-driven, and container-based services with generative and agentic AI features
- Design end-to-end AWS architectures across compute, data, networking, security, and AI services and review them against the AWS Well-Architected Framework
- Lead discovery with client stakeholders and scope current state, requirements, constraints, integrations, and risks
- Specify agentic delivery tooling, roles, conversion tools, templates, and validation gates
- Use Claude Code and Kiro to prototype architecture decisions, generate reference implementations, and test design assumptions
- Decide where AI fits in solutions and own integration, data, security, and cost implications
- Define and own the architecture quality standard for delivery teams
- Split time approximately evenly between billable client delivery and pre-sales
Requirements
What you’ll need- 10+ years of software, infrastructure, or data experience, including significant solution architecture work
- Experience designing end-to-end solutions across application, data, infrastructure, and security
- Strong client communication and ability to run architecture reviews with executives and engineers
- Hands-on experience prototyping or testing designs with AI development tools such as Claude Code or Kiro
- Hands-on background building full-stack, cloud-native applications with AI features, such as React or Angular front ends, Python or TypeScript services, and Amazon Bedrock
- 5+ years designing production architectures on AWS, with understanding of cost, scaling, security, and failure modes
- Current AWS Certified Solutions Architect – Professional certification
- Strong written and verbal communication
- Solid business acumen connecting architecture choices to cost, risk, time to value, and business case
- Proven experience scoping systems and producing architectures and design documents
- Pre-sales or consulting experience, including discovery workshops, solution proposals, estimates, and demos
- AWS Certified Generative AI Developer – Professional, AWS Certified Security – Specialty, AWS Professional Services experience, and retail background are nice to have
Benefits
Comp & perks- Medical insurance
- Dental insurance
- 401(k)
- Equal opportunity, inclusive, and safe work environment