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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Solutions Architect, AI Build & Delivery - **Company:** Foundever - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Code Generation, Customer Interaction Management (Software), Cursor, Digital Architecture, Rapid Prototyping Process, Microsoft Copilot, Software Safety, Software Engineering, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Machine Learning Operations, Claude, Software Version Control - **Published:** October 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5f655024bdac7452 ## About the Role Must-Haves * 7+ years in solutions architecture, software engineering, or technical consulting - ideally in an AI, data, or SaaS context * Strong hands-on track record building and shipping solutions - not just designing them * Deep fluency with AI-assisted development workflows (Cursor, Copilot, Claude, v0, Replit, etc.) - you build with these tools daily * Solid understanding of LLM application patterns: RAG, agents, prompt engineering, tool use, and fine-tuning * Strong engineering judgment - you know when to move fast and when production readiness requires slowing down * Ability to present your own work clearly to both technical teams and non-technical client stakeholders * Proven ability to estimate, scope, and defend technical build decisions commercially * Demonstrated ability to operate autonomously and lead without a fully formed team around you Nice-to-Haves * Background in enterprise software, cloud platforms, or AI/ML infrastructure * Experience in a startup, scale-up, or zero-to-one environment - comfortable building without a playbook * Familiarity with MLOps, vector databases, or AI safety considerations * Prior experience influencing a product roadmap from field or client insights * Exposure to P&L ownership, SOW management, or professional services revenue models * Background in BPO, CX, or contact center technology * Experience in regulated industries where responsible AI is non-negotiable ## Description We are building an AI Professional Services practice from the ground up. We need a technically savy Lead Architect who can own the build end-to-end: from client brief to working prototype, from prototype to production, and from solo contributor to the technical anchor of a growing team. This is a rare founding opportunity. You will personally ship the first solutions, establish what great AI delivery looks like at Foundever, and grow into a Tech Lead role as the practice scales. You will work closely with Sales, Product, and client stakeholders - bringing engineering credibility and realistic delivery judgment to every engagement. WHAT YOU'LL DO 1. Client Delivery & Technical Build * Be the primary builder in every early client engagement - take a scoped brief to a working prototype within days, not weeks * Design and deliver tailored AI solutions using LLMs, agents, RAG pipelines, and AI-assisted development workflows - from discovery through go-live * Build live demos and proof-of-concepts that directly support deal closure, working alongside commercial stakeholders * Own technical quality across all solutions: security, scalability, maintainability, and production readiness * Lead the transition of delivered solutions to production - including monitoring, cost control, reliability, and support handoff * Apply responsible AI delivery standards: data privacy, model selection, prompt and version management, and safeguards where required 2. Commercial & Scoping Judgment * Assess client needs and determine the best solution path: EverSuite capability, off-the-shelf tooling, or custom AI build * Estimate build costs with precision - time, infrastructure, tooling, and ongoing maintenance * Join client scoping sessions and technical discovery calls, bringing engineering credibility and realistic timelines * Flag reusable solution patterns that can evolve into packaged service offerings * Partner with Sales to scope, price, and validate new services opportunities from a technical standpoint 3. Product Feedback Loop * Identify recurring custom client requests that signal mid-term product opportunities * Communicate technical insights clearly and actionably to Product Managers * Define what "productizable" looks like technically - providing the feasibility foundation for roadmap decisions * Feed client insights back into the EverSuite roadmap through structured cross-functional collaboration 4. Practice Building * Document architecture patterns, reusable components, and build playbooks from day one * Establish delivery methodologies and quality standards for AI implementations * Create repeatable offerings: AI discovery workshops, rapid prototyping packages, paid pilots, and managed AI solution support * As the team grows, step into a Tech Lead role - setting technical standards, reviewing work, and mentoring junior architects and engineers * Define technical hiring criteria for future team members, This isn't an architecture-on-paper role. We expect our Lead Architect to personally ship working software - not just produce diagrams and hand off to others. You use AI-assisted development tools as a force multiplier, not a crutch. You review AI-generated code critically, make real-time architecture decisions without committee alignment, and have a clear point of view on where these tools accelerate delivery and where they introduce risk. You should be able to demonstrate all of the following: * Spin up a working prototype within hours of a client brief * Critically review AI-generated code - not just prompt and ship * Make real-time architecture decisions without waiting for committee sign-off * Scaffold, ship, and iterate on real solutions under commercial pressure * Coach clients on integrating AI-assisted workflows into their development culture * Maintain engineering rigor around security, scalability, and maintainability