Lead Forward Deployed Engineer

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $159,200 - $301,600 annually (us); base: $20...
8+ years software engineering experience
2+ years ml/ai or llm application work
Python programming with pytorch frameworks
This role serves as a technical ambassador bridging the gap between product engineering and real-world customer implementation within Adobe's Digital Experience organization

Job Summary

  • This role serves as a technical ambassador bridging the gap between product engineering and real-world customer implementation within Adobe's Digital Experience organization.
  • The position involves implementing A2A integration patterns, creating reusable SDKs, and designing evaluation pipelines to ensure maximum value extraction from Adobe's AI capabilities.
  • Candidates must possess strong communication skills to guide global industry leaders on API usage while acting as a bridge between customer needs and internal product teams.

Matching Summary

This role serves as a technical ambassador bridging the gap between product engineering and real-world customer implementation within Adobe's Digital Experience organization.

Salary

Base: $159,200 - $301,600 annually (US); Base: $208,300 - $301,600 annually (California); Short-term incentives via Annual Incentive Plan; Equity awards may be eligible

Skills & Requirements

Must-have

  • 8+ years software engineering experience
  • 2+ years ML/AI or LLM application work
  • Python programming with PyTorch frameworks
  • A2A integration patterns (APIs, webhooks)
  • SQL and data analytics for model behavior
  • Cloud platform experience (AWS/GCP/Azure)
  • LLM application exposure (RAG, agents)

Nice-to-have

  • Published technical writing or communication
  • Background in SaaS software development
  • Customer-facing technical role experience
  • Marketing or CRM domain knowledge
  • Java/Scala proficiency
  • MLOps/LLMOps concepts familiarity

Key Requirements

  • 8+ years of software engineering experience
  • 2+ years working with ML/AI applications
  • Proficiency in Python and PyTorch
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Familiarity with LLM applications and RAG

Work Rights

Not specified

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