Sr. Director - Ai Engineering

Salesforce

$218,400 - $365,200 annually; $263,200 - $401,400 ...
Not specified (assumed to be flexible based on company culture).
Ai foundations platform stack
Ml infrastructure and developer productivity
Model and agent lifecycle management
Salesforce is seeking a Senior Director of AI Engineering to lead its AI Foundations team, focusing on the development and deployment of AI systems at enterprise scale. The ideal candidate will have extensive experience in engineering, particularly within machine learning and AI infrastructure, to drive innovation and ensure the platform's reliability and scalability

Job Summary

  • Lead the engineering of the 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

Match Score: 85

Salesforce is seeking a Senior Director of AI Engineering to lead its AI Foundations team, focusing on the development and deployment of AI systems at enterprise scale. The ideal candidate will have extensive experience in engineering, particularly within machine learning and AI infrastructure, to drive innovation and ensure the platform's reliability and scalability.

Salary

$218,400 - $365,200 annually; $263,200 - $401,400 annually in select cities; Not specified

Skills & Requirements

Must-have

  • AI Foundations platform stack
  • ML infrastructure and developer productivity
  • Model and agent lifecycle management
  • Agent observability and evaluation
  • Generative AI and predictive AI
  • Standardize ML and agent development workflows

Nice-to-have

  • Trailblazers passionate about bettering business
  • Leading workforce transformation
  • Operational excellence and strong technical bar
  • Alignment with strategic business priorities

Key Requirements

  • 15+ years of engineering experience
  • 7+ years leading platform or infrastructure teams
  • Master's or Ph.D. degree in CS, ML, AI, or equivalent
  • Proven experience with ML and platform infrastructure
  • Hands-on familiarity with experimentation frameworks
  • Experience building evaluation systems for models and agents

Work Rights

Not specified

Tailored Resume

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