Sr. Director - Ai Engineering

Salesforce Sites

Base: $218,400 - $365,200 annually; base: $263,200...
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Ml infrastructure
Agent lifecycle management
Ai agents and llm systems
** Salesforce is seeking a Senior Director of AI Engineering to lead their AI Foundations team, focusing on the development and deployment of machine learning and AI systems at enterprise scale. The ideal candidate will have extensive experience in engineering leadership, particularly in AI and machine learning environments, and possess a strong technical background. **

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

Match Score: 75

** Salesforce is seeking a Senior Director of AI Engineering to lead their AI Foundations team, focusing on the development and deployment of machine learning and AI systems at enterprise scale. The ideal candidate will have extensive experience in engineering leadership, particularly in AI and machine learning environments, and possess a strong technical background. **

Salary

Base: $218,400 - $365,200 annually; Base: $263,200 - $401,400 annually in select cities; Bonus/Equity: company bonus, incentive for sales roles, equity; Benefits: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • ML infrastructure
  • agent lifecycle management
  • AI agents and LLM systems
  • generative AI and predictive AI
  • end-to-end observability
  • ML and agent development workflows

Nice-to-have

  • operational excellence
  • driving innovation
  • workforce transformation
  • keeping core values

Key Requirements

  • 15+ years engineering experience
  • 7+ years leading platform/infrastructure teams
  • Master's or Ph.D. in CS/ML/AI or equivalent
  • Experience with Kubernetes, CI/CD, distributed systems
  • Hands-on experimentation frameworks experience

Work Rights

Not specified

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