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Fetcherr Labs is a founder-mode unit building agentic AI solutions for mid-market enterprises. You'll join a small, flat, deliberately senior team operating with high trust and real ownership, moving at POC speed with results-driven decision-making.
As System Architect, you own the technical foundation end-to-end. You'll architect and stand up a scalable, cloud-native system from whiteboard to production on a greenfield Azure environment using Kubernetes-native infrastructure, Everything-as-Code principles, GitOps, and CI/CD from day one.
You'll work directly with the Chief AI Officer to translate complex decisioning methodologies into clean, self-service products that customers can operate without requiring a data-science team. Your role combines hands-on technical leadership with strategic architecture: you'll lead the coding effort, set technical standards, make hard architectural calls, and write core code yourself. You'll guide engineers shoulder-to-shoulder through leadership by example rather than org-chart authority, without direct people management.
A key responsibility is standing up a fully agentic SDLC—building the product with AI coding agents end-to-end so a small team can ship at the velocity of a much larger organization. You'll also design the integration layer enabling the product to plug into each host platform's native agent and data surfaces, ensuring customers adopt the solution without leaving their existing tools.
The agentic solution runs natively inside major technology and business-software platforms—enterprise clouds, CRMs, and productivity suites customers already use. This requires the system to speak every host's language fluently, not just one. You'll be the technical architect ensuring this multi-platform native integration works seamlessly.
