Senior Engineering Manager, AI Platform & Systems

Adobe

Lehi (UT)

On-site

USD 160,000 - 320,000

Full time

2 days ago
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Job summary

Adobe Unified Platform is hiring a Senior Engineering Manager to lead the Meta Factory teams responsible for the agent harness, definitions, execution loop, evaluations, and self-improvement capabilities. You will drive architecture, tool integrations, and scalable execution with cross-functional partners across product, engineering, and security.

The role requires 5+ years of people management, 2+ years leading AI deployments, and deep expertise in AI/ML systems, LLMs, and cloud platforms

Qualifications

  • 5+ years of people management experience.
  • 2+ years leading teams deploying AI in production.
  • Strong background in AI/ML systems and LLM APIs.
  • Experience with agent frameworks and cloud platforms (AWS/Azure).
  • Excellent architectural judgment and risk identification abilities.
  • Proven ability to develop engineers and grow teams.

Responsibilities

  • Own engineering execution for Meta Factory, including agent harness, definitions, execution loop, evaluations, and self-improvement systems.
  • Lead development of the agent harness, including runtime, tool integrations, context management, and execution environments.
  • Build and lead a high-performing engineering team that partners cross-functionally to turn strategy into prioritized, reliable, secure, and scalable execution.
  • Design feedback systems that help agents evaluate their work, learn from outcomes, and improve over time.
  • Lead build-vs-buy evaluations across the Meta Factory stack with clear recommendations.
  • Stay current with agentic standards and AI engineering practices and apply advances to Meta Factory.

Skills

People management
AI/ML systems
LLM APIs
Agent frameworks
Cloud platforms
Architecture judgment
Team leadership
Communication

Job description

Adobe Unified Platform is hiring a Senior Engineering Manager to lead the Meta Factory teams responsible for the agent harness, definitions, execution loop, evaluations, and self-improvement capabilities. You will drive architecture, tool integrations, and scalable execution with cross-functional partners across product, engineering, and security.

The role requires 5+ years of people management, 2+ years leading AI deployments, and deep expertise in AI/ML systems, LLMs, and cloud platforms

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