Sr. Director, Responsible AI Science and Engineering
Core
Leading the transformation of Responsible AI (RAI) practices from manual expert reviews to scalable, AI-powered automated systems for Salesforce's enterprise AI products.
Role type
Sr. Director, Responsible AI Science and Engineering
Builds
Production-scale automated RAI testing infrastructure, LLM-judge patterns, and automated intake pipelines.
Domain
Enterprise AI / Responsible AI / Agentic AI
Deliverable
production ML models
Required skills
Software engineering, AI research, Python, SQL, CI/CD pipelines, LLM-powered system architecture, evaluation science, adversarial testing (red teaming), bias detection, hallucination mitigation
Preferred skills
Mechanistic interpretability, run-time protections, agent frameworks, RAG, multi-model orchestration
Technologies
Python, SQL, LLMs, Agent frameworks, RAG
Responsibilities
Define the 18-24 month roadmap for automated RAI testing; Architect production systems for Salesforce-scale traffic; Establish research foundations and evaluation metrics; Partner with cross-functional teams to embed RAI in development lifecycle; Lead and mentor a team of technical RAI experts.
Seniority
Senior, hands-on IC with management