Internal AI Job Board

AI Automation Engineer

Novig - New York, NY

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Compensation & Benefits $200K – $230K base, benchmarked at top-tier tech companies Meaningful equity for every employ

Responsibilities

• This is the role for someone who sees AI as a multiplier and knows how to build the infrastructure that makes it work. You'll design the systems that let AI write, test, and ship code with minimal human intervention — and make sure those systems are airtight in production. Beyond the technical build, you'll embed yourself across the company, surfacing opportunities for automation, developing frameworks that raise the floor for everyone, and being the person teammates turn to when they want to understand what AI can do for them.
• Architect and develop advanced CI/CD workflows that support autonomous development loops
• Own end-to-end pipeline reliability, including deployment validation, observability, and feedback systems for AI-driven code iteration
• Collaborate cross-functionally with engineering, product, and operations teams to identify opportunities for AI-driven automation and tooling
• Develop internal “skills” and tooling frameworks to enhance productivity across engineering and other teams within the organization
• Continuously improve system performance, accuracy, and safety of AI-assisted workflows in production environments
• Be the person who shows the rest of the company what's possible with AI — running internal demos, writing up learnings, and lowering the barrier for teammates to use AI in their day-to-day work

Qualifications

• Architect and develop advanced CI/CD workflows that support autonomous development loops
• Own end-to-end pipeline reliability, including deployment validation, observability, and feedback systems for AI-driven code iteration
• Collaborate cross-functionally with engineering, product, and operations teams to identify opportunities for AI-driven automation and tooling
• Develop internal “skills” and tooling frameworks to enhance productivity across engineering and other teams within the organization
• Continuously improve system performance, accuracy, and safety of AI-assisted workflows in production environments
• Be the person who shows the rest of the company what's possible with AI — running internal demos, writing up learnings, and lowering the barrier for teammates to use AI in their day-to-day work

Apply on the original posting