[Hiring] AI Architect @Samsara

Role Description

The future of Go-To-Market systems at Samsara is agentic, intelligent, and automated — and you will define what that future looks like. As Lead AI Architect, GTM Systems, you will set the technical vision for how Samsara's GTM technology organization builds AI-powered automation:

• Low-code platforms that put power in the hands of operators
• Custom agentic pipelines that tackle the most complex GTM workflows

This is a senior individual contributor role with organization-wide scope. You won't just advise — you'll architect, prototype, and establish the patterns that the entire GTM engineering team builds against.

You will partner with GTM engineering leadership, Sales Ops, BizTech, and C-level business stakeholders to translate strategic ambitions into architectural blueprints — and then make sure those blueprints become reality. You'll shape the standards, reference architectures, and evaluation frameworks that ensure Samsara's GTM systems are built to last.

This is a remote role open to candidates in Canada.

Qualifications

• You want to impact the industries that run our world.
• You are the architect of your own career.
• You’re energized by our opportunity.
• You want to be with the best.
• You see every GTM business problem as an architecture problem.
• You're fluent in both the boardroom and the IDE.
• You have strong opinions about when to use low-code platforms versus custom builds.
• You're energized by being the person who sets the bar.
• You believe the most durable AI systems are designed for human oversight.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 10+ years of software engineering experience, with a track record of building and shipping production-grade backend systems.
• Minimum of 3 years of Technical Lead experience.
• Demonstrated experience personally building and deploying AI agents used by real end users.
• Hands-on proficiency with LLM orchestration and agentic frameworks: LangGraph, LangChain, CrewAI, LlamaIndex, or equivalent.
• Experience designing and implementing RAG systems.
• Strong backend engineering fundamentals: Python and/or Node.js, FastAPI or equivalent.
• AWS experience: Bedrock, Lambda/serverless, SQS/SNS/EventBridge, or equivalent cloud-native infrastructure.
• Strong communication skills and the ability to work directly with non-technical business stakeholders.

Company Description