AI Solutions Architect

Role overview Set technical direction across four engineering pods building production AI systems for client organizations. You will guide architecture and engineering quality, shape the technical approach for new engagements, and improve a shared platform based on lessons that recur across projects. The role is focused on leadership and technical guidance rather than day-to-day client delivery, while still including platform coding.

Responsibilities - Establish shared architecture and engineering standards for agents, workflows, integrations, security, evaluation, and observability. - Shape the technical solution for new engagements with a deployment strategist, assessing feasibility and defining what should be built. - Review key technical decisions across pods and help resolve complex engineering questions. - Coach pod leads and strengthen their technical leadership. - Identify recurring needs across engagements and address them in the common platform where appropriate. - Use AI tools in your own engineering work and help teams make practical use of new capabilities.

Requirements - At least 8 years building and operating production software. - Experience leading engineering teams. - Experience building or operating production AI systems. - Ability to set architecture and engineering standards across multiple teams. - Strong judgment about feasibility, security, system quality, and which capabilities belong in a shared platform.

Benefits and work setup - Remote role for candidates based in Cape Town, Johannesburg, or Metro Manila, with some travel to client sites. - Leads technical direction for four pods and partners with a deployment strategist on the same client accounts.