Overview
The AI Solution Architect sets the blueprint for how AI systems fit together inside your organisation. They hold both the system view — services, data, agents, orchestration — and the business view — cost, strategy, risk, and build-versus-buy — at the same time. They make the decisions that are hard to reverse: the ones every team will work inside for years.
Radical architects are APAC-validated, so the judgement calls around centralise-versus-federate, vendor lock-in, and pattern selection are grounded in more than pattern matching. They have been tested on the reasoning that leads to a good architectural decision, not just the ability to draw a good diagram.
Best fits are organisations at an inflection point: scaling an AI system designed for a smaller problem, choosing between vendor solutions that will shape the next three years, or building the reference architecture product teams will inherit. Also a strong fit for companies that need architectural alignment between AI, data, and platform engineering.
What this role does
- 01Designs end-to-end architectures that integrate AI agents with data and product systems
- 02Sets the reference patterns other teams can follow without reinventing the wheel
- 03Balances scalability, security, cost, and speed of delivery
- 04Advises leadership on build-vs-buy and vendor strategy
- 05Mentors senior engineers across teams on practical AI system design
Skills and experience we look for
Typical engagement types
The best AI professionals are not busy on LinkedIn Open To Work. They are already building. We know them, and we know how to reach them, because we spend time with them.
