Client Partner Ai Engineering (tmt)

Fractal

San Francisco, CA, USA
Base: up to $300,000; bonus/equity: discretionary ...
On-site
Ai/data platform architecture
Mlops, llmops, agentops pipelines
Genai industrialization
This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom

Job Summary

  • This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.
  • You will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Matching Summary

This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Salary

Base: up to $300,000; Bonus/Equity: discretionary bonus; Benefits: health, dental, vision, life insurance, disability plans, 401(k), 11 paid holidays, 12 weeks Parental Leave, free time PTO

Skills & Requirements

Must-have

  • AI/Data platform architecture
  • MLOps, LLMOps, AgentOps pipelines
  • GenAI industrialization
  • Client-facing engineering leadership
  • Hands-on architecture
  • Executive presence
  • Team leadership
  • Embedded delivery

Nice-to-have

  • Experience in TMT vertical
  • FDE-style or embedded delivery
  • Comfort with ambiguity
  • Personal reputation for architectural clarity
  • Contributions to ML/AI community

Key Requirements

  • 15–20 years of experience
  • Deep hands-on experience deploying AI/ML/GenAI
  • Demonstrated executive presence
  • Ability to whiteboard fluently under pressure
  • Experience operating within client-owned or non-standard technology stacks
  • Track record of leading senior engineers
  • Direct executive engagement experience
  • Strong cloud-native fluency

Work Rights

Not specified

Tailored Resume

Cover Letter