Principal AI Systems Engineer, Agentic and Productivity Systems

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Lehi, UT
Salary
$248,900–$360,500 / yr
Posted
113 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $305k
$131k most similar roles pay here $385k

This role pays more than 91% of similar roles. Most pay $168,750–$246,150 — the shaded band above. At the midpoint, this role pays about $305k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

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At a glance

TL;DR · Principal AI Systems Engineer, Agentic and Productivity Systems

Principal AI Systems Engineer- Agentic and Productivity Systems joins the Creative Cloud Engineering team to build next-generation AI-powered infrastructure designed to enhance developer productivity and operational excellence. This role focuses on designing, orchestrating, and production-hardening agent-based systems for workflows such as CI diagnostics, code review automation, and build failure triage. The engineer will develop multi-agent orchestration patterns with structured state and memory while building reusable service architectures and evaluation pipelines. Key technical requirements include proficiency in Python, Go, or TypeScript, along with experience in distributed systems, LLM integration across providers like AWS Bedrock, Anthropic, and OpenAI, and knowledge of vector databases or RAG architectures. The role addresses the challenge of transforming experimental AI workflows into durable, scalable infrastructure to reduce manual debugging and operational friction within the Creative Cloud ecosystem.

What you'll do

  • Design and prototype agent-based systems for CI diagnostics, code review automation, and build failure triage.
  • Develop multi-agent orchestration patterns featuring structured state, memory, and control boundaries.
  • Build reusable infrastructure layers and service architectures for AI-powered engineering tools.
  • Create structured evaluation pipelines including trace-based testing to monitor agent behavior.
  • Convert experimental AI workflows into secure, scalable, and production-grade services.
  • Implement observability, cost controls, and model routing for AI systems.
  • Define internal standards for AI experimentation, deployment, and monitoring across engineering teams.

What we're looking for

  • 8+ years of software engineering experience with depth in systems-level work.
  • Strong systems engineering skills using Python, Go, TypeScript, or similar languages.
  • Experience building distributed systems, developer platforms, or infrastructure services.
  • Experience integrating LLMs or AI APIs into production systems.
  • Experience evaluating and integrating multiple AI providers including cost optimization and capacity planning.
  • Strong understanding of observability, metrics, logging, and tracing systems.
  • Preferred experience with agent frameworks like LangGraph, AutoGen, or CrewAI.
  • Preferred experience with embeddings, vector databases, RAG architectures, and CI/CD platforms.

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