Sr. Director Engineering - Agentic

ADOBE

Multiple Locations
Base: $209,300 -- $429,350 annually; bonus/equity:...
Leading platform and systems engineering at scale
Strong point of view on agentic architecture
Ai/ml platform engineering
Lead the technical execution of forward-looking platform bets: building the agentic infrastructure and experiences that will define how creativity gets done in the AI era

Job Summary

  • Lead the technical execution of forward-looking platform bets: building the agentic infrastructure and experiences that will define how creativity gets done in the AI era.
  • You will lead engineering for Adobe's differentiated agentic harness — the platform that orchestrates generative models, document intelligence, creative workflows, and decades of differentiated Adobe capabilities into intelligent, multi-step experiences for creators and enterprise customers.
  • This is a rare opportunity to build the engineering foundation for Adobe's presence in the next generation of creative software.

Matching Summary

Lead the technical execution of forward-looking platform bets: building the agentic infrastructure and experiences that will define how creativity gets done in the AI era.

Salary

Base: $209,300 -- $429,350 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • leading platform and systems engineering at scale
  • strong point of view on agentic architecture
  • AI/ML platform engineering
  • LLM APIs, agent frameworks
  • developer-facing platform capabilities
  • cross-functional leadership instincts
  • enterprise-grade reliability, security, and compliance

Nice-to-have

  • move fast in evolving space
  • partnering with Product leadership
  • driving coherence, quality, and velocity
  • operating on a running release train model
  • fluency in emerging agentic standards

Key Requirements

  • leading and scaling high-performing engineering organizations
  • experience building and shipping developer-facing platform capabilities
  • experience with enterprise-grade reliability, security, and compliance
  • experience working with LLM providers or contributing to AI platform strategy

Work Rights

Not specified

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