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Principal AI Engineering Architect

Robots & Pencils•United States•🌍 Remote
Full-time15+
$180K - $231K
per year
👁️ 0 views•📝 0 applications•Posted 10/29/2026•Expires 12/28/2026
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Job Description

Principal AI Engineering Architect We're looking for a Principal AI Engineering Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI — with deep, hands-on mastery of multi-agent agentic AI solutions.

This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the engagements they support, while also being able to roll up their sleeves and lead model development, agentic system design, and production delivery end-to-end.

In this role, you will operate as the senior technical authority on a cross-functional team, defining architecture across cloud infrastructure, data platforms, and AI/ML workloads, with a strong bias toward AWS-native services and AWS GenAI offerings.

You'll partner closely with leadership and clients on technical strategy, lead the design and delivery of complex, production-grade multi-agent systems, mentor experienced engineers, and own high-stakes decisions that shape the long-term success of the systems you build.

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 Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements, owning architecture decisions and driving solutions from

Required Skills

AIclouddatamulti-agent systemsAWSAI/MLarchitecture designproduction deliveryGenAImentoringtechnical strategycross-functional team leadership

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