Sr. Director - Ai Engineering

Salesforce

San Francisco, California, United States
Base: $218,400 - $365,200 annually; base: $263,200...
Ml infrastructure
Agent lifecycle management
Evaluation and observability
Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale

Job Summary

  • Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale.
  • Drive end-to-end observability across data pipelines, retrieval, model inference, tool execution, and agent outcomes, with clear SLIs/SLOs for quality, latency, reliability, and cost.
  • Build and lead a high-performing organization of engineering managers and senior engineers, setting a strong technical bar and culture of operational excellence.

Matching Summary

Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale.

Salary

Base: $218,400 - $365,200 annually; Base: $263,200 - $401,400 annually (select cities); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • ML infrastructure
  • agent lifecycle management
  • evaluation and observability
  • generative AI
  • predictive AI
  • AI agents and LLM systems

Nice-to-have

  • operational excellence
  • workforce transformation
  • responsible AI
  • trailblazers

Key Requirements

  • 15+ years engineering experience
  • 7+ years leading platform/infrastructure teams
  • Master's or Ph.D. degree
  • Experience with ML platform infrastructure
  • Hands-on experimentation frameworks experience
  • Experience building evaluation systems

Work Rights

Not specified

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