Principal Machine Learning Engineer, Agent Harness - Meta Factory
Core
Designing the technical architecture and engineering standards for Adobe's autonomous agent platform (Meta Factory) that decomposes work and executes tasks for thousands of engineers.
Role type
Principal Machine Learning Engineer (Agentic Systems Architecture)
Builds
The Agent Harness, a model-independent platform for autonomous agents to understand goals, use tools, and self-evaluate.
Domain
AI-native software development, agentic systems, LLM infrastructure
Deliverable
production ML models | infrastructure
Required skills
distributed systems, runtime build, platform architecture, agentic systems, LLM infrastructure, model fine-tuning, optimization, cross-team technical leadership, AI-first architecture
Preferred skills
experience at Adobe or large tech companies, innovation record, senior technical leadership
Technologies
LLM runtimes, agent execution frameworks
Responsibilities
Define harness interfaces and standards balancing performance, cost, and reliability; track and lead adoption of emerging agent runtime trends; advise engineering leadership on agentic execution challenges; mentor senior technical talent.
Seniority
Principal, strategy & mentorship
