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.

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

WHAT WE'RE LOOKING FOR

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

WHAT "AI BUILD FLUENCY" MEANS HERE

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