Senior Solutions Architect, AI Build

About Us

Foundever® is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we’re the team behind the best experiences for +800 of the world’s leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.

About the job

We are looking for a hands-on Senior Solutions Architect, AI Build to be the technical backbone of our growing AI Professional Services practice. Where the Director owns the commercial vision, client relationships, and practice strategy, you own the build — turning client briefs into working prototypes, architecting custom AI solutions, and shipping things that close deals and create lasting client value.

At first, you will work as a founding duo alongside the Director — moving fast, wearing multiple hats, and establishing what great AI delivery looks like at Foundever. As demand grows, you will evolve into a Tech Lead, setting the technical bar for the team that scales behind you.

This is a rare opportunity to be the first builder in a practice being created from the ground up — with direct client impact, full technical ownership, and the backing of a global AI-powered organization.

WHAT YOU'LL DO

Client Delivery & Engagement

1. Be the primary builder in every early client engagement — take a scoped solution from architecture to working prototype within days, not weeks
2. Design and deliver tailored AI solutions leveraging LLMs, agents, RAG pipelines, and AI-assisted development workflows, from discovery through go-live
3. Build live demos and proof-of-concepts that directly support deal closure alongside the Director
4. Own the technical quality of every solution delivered — covering security, scalability, maintainability, and production readiness
5. Support the transition of delivered solutions to production, including monitoring, reliability, cost control, and support model handoff
6. Apply responsible AI delivery standards — data privacy, model selection, prompt and version management, and safeguards where required

Commercial & Build Assessment

1. Estimate solution build costs with precision — time, infrastructure, tooling, and ongoing maintenance
2. Join client scoping sessions and technical discovery calls, bringing engineering credibility and realistic delivery timelines
3. Analyse off the shelf solutions to help decide when to buy (vs build) and partner up to ensure quality and speed
4. Flag reusable solution patterns that could evolve into packaged service offerings

Product Feedback Loop

1. Identify recurring custom requests that signal mid-term product opportunities
2. Partner with the Director to structure and communicate technical insights to Product Managers in a clear and actionable way
3. Define what "productizable" looks like technically — providing the feasibility foundation for roadmap decisions

Practice Building

1. Document architecture patterns, reusable components, and build playbooks from day one
2. As the team grows, step into a Tech Lead role — setting technical standards, reviewing work, and mentoring junior architects and engineers
3. Help define technical hiring criteria for future team members
4. Contribute to building a delivery methodology that is fast, repeatable, and scalable

WHAT WE'RE LOOKING FOR

Must-Haves

1. 6–10 years in solutions architecture, software engineering, or technical pre/post-sales — ideally in an AI, data, or SaaS context
2. Strong hands-on track record building and shipping solutions — not just designing them
3. Deep fluency with AI-assisted development workflows (Cursor, Copilot, Claude, v0, Replit, etc.) — you build with these tools, not just talk about them
4. Solid understanding of LLM application patterns: RAG, agents, prompt engineering, tool use, and fine-tuning
5. Strong engineering judgment — you know when to move fast and when production readiness requires slowing down
6. Ability to present your own work clearly to both technical teams and non-technical client stakeholders
7. Proven ability to estimate, scope, and defend technical build decisions commercially

Nice-to-Haves

1. Background in enterprise software, cloud platforms, or AI/ML infrastructure
2. Experience in a startup, scale-up, or zero-to-one environment — comfortable building without a playbook
3. Familiarity with MLOps, vector databases, or AI safety considerations
4. Prior experience influencing a product roadmap from field or client insights
5. Background in BPO, CX, or contact center technology

WHAT 'AI BUILD' MEANS HERE

This isn't an architecture-only role. We expect our Senior Solutions Architect to personally ship working software — not just produce diagrams and hand off to others.

You should be able to:

• 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 alignment
• Eventually coach and lead others who will build after you