Director, Ai Engineering

ServiceTitan

United States
Base: $271,800 - $363,500 usd; bonus/equity: annua...
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5+ years ml/ai engineering leadership experience
Deep system-level architectural knowledge of llms
Experience managing multiple ai engineering teams
** ServiceTitan is seeking a Director of AI Engineering to lead the development of its AI infrastructure, managing multiple teams and aligning AI initiatives with business outcomes. The ideal candidate will have significant experience in AI leadership, particularly in product environments, and a strong technical background in large language models and system architectures. **

Job Summary

  • The role involves setting the engineering vision and directing the architecture of core AI infrastructure and Multi-Agent Systems.
  • Candidates must oversee highly available data processing architectures, Enterprise-wide Knowledge Graphs, and foundational Intelligence Stores.
  • The company offers comprehensive benefits including 100% employer-paid medical options and up to $20k in fertility services.

Matching Summary

Match Score: 75

** ServiceTitan is seeking a Director of AI Engineering to lead the development of its AI infrastructure, managing multiple teams and aligning AI initiatives with business outcomes. The ideal candidate will have significant experience in AI leadership, particularly in product environments, and a strong technical background in large language models and system architectures. **

Salary

Base: $271,800 - $363,500 USD; Bonus/Equity: Annual bonus and equity included; Benefits: Comprehensive health, 401k match, parental leave

Skills & Requirements

Must-have

  • 5+ years ML/AI engineering leadership experience
  • Deep system-level architectural knowledge of LLMs
  • Experience managing multiple AI engineering teams
  • Expertise in RAG pipelines and agentic workflows
  • Knowledge of scalable Model Hosting and Training
  • Enterprise-wide Knowledge Graph architecture skills

Nice-to-have

  • Strong communication with C-level executives
  • Ability to navigate ambiguity in GenAI landscape
  • Culture of ownership and responsible AI development
  • Experience with human-in-the-loop controls

Key Requirements

  • MS/Ph.D. in Computer Science or related quantitative discipline
  • 5+ years of experience in ML or AI engineering leadership roles
  • Proven ability to manage managers within a product company

Work Rights

Not specified

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