AI Solutions Architect

origami.build; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

origami.build is seeking a senior engineering leader to set the technical direction across four pods building production AI systems. You will shape architecture, drive quality, and guide engagements while still contributing to platform coding.

This role focuses on leadership and technical guidance rather than day-to-day delivery, with hands-on work on the shared platform. You will coach pod leads, review key decisions, and align security, feasibility, and system quality across teams,

Qualifications

• 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.

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.

Skills

Leadership experience

Production AI systems

Architecture standards

Feasibility & security judgment

8+ years of software experience

Job description

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.