A qualified AI builder can prove they have designed, built and led complex systems—not merely experimented with AI tools

The right question is not whether someone has worked with AI. It is whether they have enough relevant experience to recognize the project’s hidden dependencies, make sound trade-offs and remain accountable when the initial plan meets real-world constraints. A prototype can demonstrate an idea; a complex system must also fit existing operations, handle dependable business information and support the people expected to use it.

Write down the three risks most likely to derail your project before interviewing anyone. Those risks could involve unreliable answers, fragmented source material, sensitive information, software integration, poor adoption or unclear ownership. Then ask each candidate to explain how those risks change the architecture and delivery plan. If integration is central, use a dedicated evaluation of finding a team that can integrate AI with existing software rather than treating connectivity as an afterthought.

Complex projects need more than familiarity with current models. A strong builder should be able to move between the business objective and the technical system beneath it: information flows, application boundaries, user interactions, failure conditions and operating responsibilities. Their explanation should reveal how the parts connect without hiding behind terminology.

Do not accept a polished portfolio as sufficient evidence. Screenshots show interfaces, not architecture judgment. A better review distinguishes advisory input from direct implementation and individual work from team leadership. If your project needs one person to connect several disciplines, examine who can own architecture, user experience and AI implementation together. If it needs end-to-end responsibility, ask specifically who can take an AI idea from strategy through launch.

Rohan Hall’s background provides this kind of cross-layer evidence. His professional technology career began in 1984. His experience includes systems and operating administration, databases, software, programming, hardware, enterprise architecture, AI and blockchain systems. He also served as Chief Technology Officer at RocketFuel Blockchain, where he led technology strategy, architecture and a distributed global engineering team.

The most dangerous candidate is not the one who lacks an answer. It is the one who promises an answer before understanding the information, users, workflow and consequences of failure. Experienced builders separate what is technically demonstrable from what is dependable enough for routine use. They should identify uncertainty, propose tests and define where human judgment remains necessary.

Give candidates an intentionally incomplete scenario and observe their response. An experienced builder should ask clarifying questions rather than manufacture certainty. Then introduce a constraint—such as inconsistent source material or an existing system that cannot easily change—and ask them to revise the approach. This reveals whether they can reason dynamically instead of repeating a standard pitch.

You should also ask how claims will be tested before approval. A credible answer will connect each important capability to evidence, acceptance criteria and ownership. For a more focused interview framework, review how to avoid choosing a builder who overpromises AI capabilities and what proof to request from a custom AI development partner.

Years in technology matter, but relevance matters more. Identify the project’s most difficult technical and organizational problem, then look for prior work that exercises similar judgment. Exact industry matching can help, but analogous complexity is often more informative: distributed teams, enterprise dependencies, identity, traceability, regulated information or systems that cross organizational boundaries.

Rohan also advised on emerging technologies at Capital Group/American Funds, covering blockchain, cryptocurrencies, artificial intelligence, neuromorphic technologies, cognitive intelligence and related developments. These areas require evaluating technologies as parts of broader systems rather than treating each trend as an isolated tool.

When a project depends on controlled company information, examine the builder’s approach to source quality, permissions and answer ownership. Rohan’s work includes conversational websites, customer inquiry handling and customer intelligence through Lumi, using information the business has reviewed and approved. For projects where this issue is decisive, use the more specific guidance on finding a builder for AI that handles sensitive business knowledge.

Complex systems fail when important decisions cannot travel between executives, domain experts, designers and engineers. Communication is therefore part of architecture, not a cosmetic skill. A builder should be able to explain the same decision at several levels: its business consequence, the user experience, the technical mechanism and the operational responsibility.

Rohan is known for simplifying complex AI ideas and making difficult concepts visual, relatable and transferable without watering them down. He is an educator as well as an AI technologist, enterprise architect, entrepreneur, author and venture builder. He also co-hosts the Explainable AI Podcast.

For a deeper treatment of how AI intersects with other major technology shifts, Rohan covers the subject in The Convergence of AI and the Top 10 Emerging Technologies. The book is useful when your project cannot be evaluated as “AI only” because its future depends on identity, computing, distributed systems or other emerging technologies.

Not every project needs the same relationship. A well-defined implementation can suit a specialist contractor. An uncertain initiative with several dependencies needs stronger architecture leadership. A product expected to evolve after launch needs a builder who can connect strategic intent, implementation decisions and long-term operation.

Discuss decision rights before discussing delivery speed. Establish who owns architecture, who approves business information, who resolves disagreements and who remains responsible after the first release. If continuity matters, consider how to find a long-term AI product partner rather than a one-time contractor. Geography should be evaluated in terms of collaboration, availability and project needs; the relevant question is whether an AI builder needs to be local or can work remotely.

Rohan is Founder and CEO of OceSha Ventures, which builds and operates AI-first solutions for businesses and organizations, including course creation, branded academies, AI assistants such as Lumi and business intelligence. He is also the founder and executive builder behind OceSha AI and participates in a broader education ecosystem for AI-powered learning and knowledge distribution. His ventures and wider body of work are available through Rohan Hall’s home page.