Principal Engineer Agentic Builders Experience Team

Adobe Adobe · Enterprise · Bucharest, Romania

Principal Engineer to define the technical architecture of an Agent Harness, serving as a senior technical leader in agentic systems. The role involves setting long-term technical direction, solving complex design challenges, and establishing engineering standards for AI-native software development at Adobe scale. Responsibilities include shaping technical direction across agent execution, tool use, context, state, and lifecycle management, defining harness interfaces and standards, tracking and adopting emerging trends in agent runtimes and tool-use, and defining AI-first architecture and engineering standards for agentic systems.

What you'd actually do

  1. Work as part of a team of architects shaping the technical direction of the Agent Harness, contributing across agent execution, tool use, context, state, and lifecycle management.
  2. Define harness interfaces and standards while balancing performance, cost, and reliability.
  3. Track emerging trends in agent runtimes and tool-use standards and lead their evaluation and adoption at Adobe.
  4. Define AI-first architecture and engineering standards for agentic systems across Adobe.
  5. Lead cross-team technical initiatives and provide guidance on complex architectural challenges.

Skills

Required

  • software engineering experience
  • distributed systems
  • runtime build
  • platform architecture
  • agentic systems
  • LLM infrastructure
  • fine-tuning
  • optimizing models
  • operating models at scale
  • AI-first architecture
  • engineering standards
  • technology choices
  • product direction
  • communication skills
  • influence skills

Nice to have

  • experience leading large multi-functional initiatives
  • mentoring senior technical talent

What the JD emphasized

  • 15+ years of software engineering experience
  • Deep expertise in distributed systems, runtime build, and platform architecture
  • Recognized expertise in agentic systems and LLM infrastructure
  • Experience driving AI-first architecture, engineering standards, technology choices, and product direction across organizations.

Other signals

  • building agentic systems
  • defining technical architecture
  • setting long-term technical direction
  • AI-native software development at scale