> Markdown version of [/jobs/ext/4368599-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4368599-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - **Company:** ARTISAN MANAGEMENT LLC - **Location:** Woodfin, NC, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Amazon Web Services, Cloud Computing, Cursor, Python (Programming Language), Software Engineering, SQL Databases, TypeScript, Claude Code, Multi-Agent Systems, AI Coding Agents, Agentic-AI, Data Lakehouse, Serverless Computing, Microservices - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3c1dd26bb0f6d887 ## About the Role You are a fluent in software engineering topics and have professional experience designing software architectures that would pass the AWS Well Architected Review. You have shipped production software through the full software development lifecycle and lived with what your design decisions cost. You can explain why an event-driven system fits one problem and a modular monolith fits another, and you can describe a case where you chose wrong. You work well in consulting: you can confidently hold a high level technical position with a client CTO and then talk details with his tech leadership and ICs. You use AI tools in your own work, you know where their output fails, and you own every line and every claim that comes out of them. Knowledge, Skills, and Experience * Professional software engineering experience at a company, through the full software development lifecycle (requirements, design, build, test, release, and operation), including designing systems that other engineers built. * Working knowledge of the major architectural styles (monolith and modular monolith, microservices, event-driven, serverless, data lakehouse, and agentic AI systems): when to use each, what each costs, and the failure modes to watch for. * Hands-on experience building and operating cloud-native systems on AWS, in both architecture and code: compute, storage and data, identity, networking, and cost. * Experience in consulting or professional services: solution architecture, estimates, statements of work, and client-facing technical conversations. * Proficiency in Python or TypeScript. Confident writing SQL. * Daily use of AI coding agents (Claude Code, Cursor, or similar), with the judgment to verify and own their output. * Clear written and verbal communication with executives, clients, and engineers. Extra Credit * Experience in the AWS partner ecosystem: Professional Services co-delivery, partner programs, or funded proof-of-concept work. * Agentic patterns in production: MCP servers, tool-calling agents, multi-agent orchestration, or agent memory. * Lakehouse experience: Iceberg, Glue, Athena, or the equivalent on another cloud. * Public writing or talks about something you built. * AWS Professional certification., * Decision Quality - Chooses an architecture on its merits and names the trade-offs * Drives Results - Delivers scoped, estimated, and proven designs on the sales timeline * Manages Ambiguity - Operates well when the client's problem is only half defined * Customer Focus - Builds strong client relationships and delivers client-centric solutions * Communicates Effectively - Explains technical decisions to executives and engineers alike ## Description This is a hands-on individual contributor role in our solutions architecture practice, reporting to the Principal Solutions Architect. You work across two to five client opportunities at a time, from the first discovery call through the signed Statement of Work and the handoff to delivery., * Design solution architectures for client engagements: choose the architectural style, name the trade-offs, and write the decision records. * Review proposed designs for where they will fail under load, cost, security, or change, and say so before the deal is signed. * Lead the technical side of presales: discovery, scoping, estimates, statements of work, and client workshops. * Build proof-of-concept slices on AWS and run research spikes when a design or a client question needs a measured answer before signature. * Prepare reference architectures and technical content for AWS Partner and AWS Professional Services sessions. * Hand off to delivery with the design, the decision records, and the open questions written down. * Explain and defend technical recommendations to client executives, client engineers, and AWS.