Principal Machine Learning Engineer, Agent Harness - Meta Factory
About the role
A principal machine learning engineer position within Adobe Unified Platform, focusing on the technical architecture of the Agent Harness. This role involves setting long-term technical direction, solving complex design challenges, and establishing engineering standards for AI-native software development at Adobe scale.
Responsibilities
- 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.
Requirements
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.
Qualifications
Not specified.
Skills
Not specified.
Benefits
Not specified.
Pay
$206,400 -- $379,100 annually.
Schedule
Not specified.