> Markdown version of [/jobs/ext/1263597-principal-machine-learning-engineer-agent-harness-meta-factory](https://www.wearedevelopers.com/jobs/ext/1263597-principal-machine-learning-engineer-agent-harness-meta-factory). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Principal Machine Learning Engineer, Agent Harness - Meta Factory

- **Company:** Adobe Systems
- **Location:** San Jose, CA, United States
- **Salary:** $261,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Systems, Machine Learning, Performance Tuning, Software Engineering, Large Language Models, Adobe
- **Published:** July 14, 2026
- **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal-Machine-Learning-Engineer--Agent-Harness---Meta-Factory_R170441-1

## About the Role

* 15+ years of software engineering experience, with a strong record of innovation and business impact at Adobe or across the industry.
 * Deep expertise in distributed systems, runtime build, and platform architecture, with experience leading large multi-functional initiatives.
 * Recognized expertise in agentic systems and LLM infrastructure, with hands-on experience fine-tuning, optimizing, and operating models or runtimes at scale.
 * Experience driving AI-first architecture, engineering standards, technology choices, and product direction across organizations.
 * Strong communication and influence skills, with the ability to align senior leaders and teams around a shared technical vision.

## Description

We are looking for a Principal Machine Learning Engineer to define the technical architecture of the Agent Harness and serve as one of Adobe's senior technical leaders in agentic systems. You will set the long-term technical direction, solve the hardest design challenges, and establish engineering standards for AI-native software development at Adobe scale., * Work as part of a team of architects shaping the technical direction of the Agent Harness, contributing across agent execution, tool use, context, state, and lifecycle management.

 * Define harness interfaces and standards while balancing performance, cost, and reliability.
 * Track emerging trends in agent runtimes and tool-use standards and lead their evaluation and adoption at Adobe.
 * Define AI-first architecture and engineering standards for agentic systems across Adobe.
 * Lead cross-team technical initiatives and provide guidance on complex architectural challenges.
 * Advise engineering leadership on emerging agentic execution challenges and mentor senior technical talent across the organization.


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