Lead Solutions Architect, AI Build & Delivery

About Foundever: Foundever™ 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.   Job Summary   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…