Senior Computer Scientist
Core
Define and lead the architecture for Commerce Factory's Agent Harness and Learning Layer, enabling autonomous agents to plan, execute, evaluate, and improve tasks within Adobe's Unified Platform.
Role type
Senior AI Architect (Agentic Systems)
Builds
Scalable agentic systems for software development, including agent learning, feedback pipelines, and evaluation infrastructure.
Domain
AI/ML, Agentic Software Development, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AI/ML system architecture, LLM and agentic system design, reinforcement learning, preference learning, reward modeling, evaluation pipeline design, technical strategy, Python proficiency, cloud platform experience
Preferred skills
Experience with AWS or Azure, data pipeline technologies, ML experimentation infrastructure, mentoring engineering teams
Technologies
Python, AWS, Azure, LLM frameworks, RLHF tools
Responsibilities
Define architecture for agent learning and feedback systems; design feedback and evaluation pipelines; apply AI/ML techniques like RL and reward modeling; establish architecture standards; develop prototypes and PoCs; mentor engineers; partner with stakeholders to translate goals into roadmaps
Seniority
Senior, hands-on IC with strategic leadership
