AI Solution Architect

About the role The AI Solution Architect is the client-facing lead on Marais Advisory engagements. You sit with client stakeholders to understand the business problem, design the AI system that solves it, and explain that design back to the client in terms they can act on. The role bridges business requirements and engineering execution, from the first discovery session through production deployment.

Responsibilities

- Lead technical discovery with client teams to define the problem, current workflows, data, and constraints
- Design end-to-end AI architectures: agent design, data flows, integration architecture, and platform selection
- Write the specs the engineering pod executes within the 3-3-3 methodology
- Communicate architectures and recommendations to client executives through clear, well-structured PowerPoint presentations, tying design choices to cost takeout,



cycle-time compression, and EBITDA impact
- Guide the build through production, adjusting the design as real constraints emerge

- Requirements

- A record of designing and shipping production AI systems
- Hands-on depth with LLM platforms such as Claude, data platforms such as Databricks and Snowflake, and cloud infrastructure
- Strong presentation skills: able to translate technical architecture into executive-ready PowerPoint decks and present them with confidence
- Clear communicator, equally at home at the whiteboard and in the codebase
- Consulting or private equity portfolio company experience at a large firm (McKinsey, BCG, Bain, Deloitte, Accenture, EY, etc.)

📌 AI Solution Architect (Client facing) (Argentina)
🏢 Marais Advisory
📍 Argentina