Lead Solutions Architect, AI Build & Delivery

ABOUT FOUNDEVERFoundever™ is a global leader in the customer experience (CX) industry. With 170,000 associates across the globe, we are the team behind the best experiences for 750+ of the world's leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support the operational needs of our clients and deliver a seamless experience to customers in the moments that matter.ABOUT THIS ROLEWe 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 DO1. Client Delivery & Technical BuildBe the primary builder in every early client engagement — take a scoped brief to a working prototype within days, not weeksDesign and deliver tailored AI solutions using LLMs, agents, RAG pipelines, and AI-assisted development workflows — from discovery through go-liveBuild live demos and proof-of-concepts that directly support deal closure, working alongside commercial stakeholdersOwn technical quality across all solutions: security, scalability, maintainability, and production readinessLead the transition of delivered solutions to production — including monitoring, cost control, reliability, and support handoffApply responsible AI delivery standards: data privacy, model selection, prompt and version management, and safeguards where required2. Commercial & Scoping JudgmentAssess client needs and determine the best solution path: EverSuite capability, off-the-shelf tooling, or custom AI buildEstimate build costs with precision — time, infrastructure, tooling, and ongoing maintenanceJoin client scoping sessions and technical discovery calls, bringing engineering credibility and realistic timelinesFlag reusable solution patterns that can evolve into packaged service offeringsPartner with Sales to scope, price, and validate new services opportunities from a technical standpoint3. Product Feedback LoopIdentify recurring custom client requests that signal mid-term product opportunitiesCommunicate technical insights clearly and actionably to Product ManagersDefine what "productizable" looks like technically — providing the feasibility foundation for roadmap decisionsFeed client insights back into the EverSuite roadmap through structured cross-functional collaboration4. Practice BuildingDocument architecture patterns, reusable components, and build playbooks from day oneEstablish delivery methodologies and quality standards for AI implementationsCreate repeatable offerings: AI discovery workshops, rapid prototyping packages, paid pilots, and managed AI solution supportAs the team grows, step into a Tech Lead role — setting technical standards, reviewing work, and mentoring junior architects and engineersDefine technical hiring criteria for future team membersWHAT WE'RE LOOKING FORMust-Haves7+ years in solutions architecture, software engineering, or technical consulting — ideally in an AI, data, or SaaS contextStrong hands-on track record building and shipping solutions — not just designing themDeep fluency with AI-assisted development workflows (Cursor, Copilot, Claude, v0, Replit, etc.) — you build with these tools dailySolid understanding of LLM application patterns: RAG, agents, prompt engineering, tool use, and fine-tuningStrong engineering judgment — you know when to move fast and when production readiness requires slowing downAbility to present your own work clearly to both technical teams and non-technical client stakeholdersProven ability to estimate, scope, and defend technical build decisions commerciallyDemonstrated ability to operate autonomously and lead without a fully formed team around youNice-to-HavesBackground in enterprise software, cloud platforms, or AI/ML infrastructureExperience in a startup, scale-up, or zero-to-one environment — comfortable building without a playbookFamiliarity with MLOps, vector databases, or AI safety considerationsPrior experience influencing a product roadmap from field or client insightsExposure to P&L ownership, SOW management, or professional services revenue modelsBackground in BPO, CX, or contact center technologyExperience in regulated industries where responsible AI is non-negotiableWHAT "AI BUILD FLUENCY" MEANS HEREThis 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 briefCritically review AI-generated code — not just prompt and shipMake real-time architecture decisions without waiting for committee sign-offScaffold, ship, and iterate on real solutions under commercial pressureCoach clients on integrating AI-assisted workflows into their development cultureMaintain engineering rigor around security, scalability, and maintainability