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Forward Deployed Engineer

Robots & Pencils•United States•🌍 Remote
Full-time7-15
$177K - $210K
per year
👁️ 0 views•📝 0 applications•Posted 10/30/2026•Expires 12/29/2026
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Job Description

Staff Forward Deployed AI Engineer We're looking for a Staff Forward Deployed AI Engineer to lead the design, delivery, and adoption of AI/ML systems directly within client environments.

This role is ideal for an experienced engineer who thrives on architectural decisions, can own systems end-to-end, and drives real outcomes at the intersection of technical depth and client partnership.

In this role, you will embed with clients as a key technical leader, defining AI architecture, leading model development and optimization, and solving challenging integration problems in live enterprise environments.

You'll parachute into in-flight work where reliability, security, and scalability are critical — and you'll be the person who makes it land. You'll raise the bar on how we build and deploy AI systems and help clients actually adopt and scale what we ship.

# Why This Role Matters At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days.

That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You'll Do

Craft & Delivery Lead the design and implementation of complex ML/AI systems end-to-end within client environments, owning architecture decisions and driving solutions from research through production at scale Build, deploy, and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment — often within existing client constraints Diagnose and unblock integration challeng

Required Skills

AIMLMachine LearningSoftware ArchitectureML InfrastructureML Pipelines

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