Principal AI Systems Engineer- Agentic and Productivity Systems

Adobe

Quick summary

Work type: On-site
Location: San Jose
Salary: $248,900–$360,500 / yr
Posted: 22 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k

This role $305k

$151k most similar roles pay here $383k

This role pays more than 92% of similar roles. Most pay $173,512–$246,150 — the shaded band above. At the midpoint, this role pays about $305k versus about $210k 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 344 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 344 roles with salary data.

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At a glance

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

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As a Senior AI Systems Engineer in the Creative Cloud Engineering organization, you will design and operationalize agent-based systems to enhance engineering workflows across CI/CD, developer tooling, and diagnostics. Your day-to-day involves developing multi-agent orchestration patterns, evaluating emerging AI frameworks, building reusable service architectures for AI-powered systems, and implementing feedback loops to improve performance. You will also convert experimental workflows into secure, scalable production services with observability features. The role requires expertise in Python, Go, TypeScript, distributed systems, and integrating LLMs or AI APIs into production environments. Ideal candidates have experience with agent frameworks, embeddings, vector databases, and cost-aware model orchestration. This foundational position aims to establish durable AI-native infrastructure across Creative Cloud, driving long-term improvements in engineering productivity and operational excellence.

Skills

Python Go TypeScript AWS Bedrock Anthropic OpenAI LLMs CI/CD observability metrics logging tracing LangGraph AutoGen CrewAI embeddings vector databases RAG architectures cost-aware model orchestration multi-model routing

What you'll do

Design and prototype agent-based systems for engineering workflows like CI diagnostics and code review automation.
Develop multi-agent orchestration patterns with structured state, memory, and control boundaries.
Build reusable orchestration layers and service architectures for AI-powered engineering systems.
Convert experimental workflows into secure, scalable, production-grade services with observability features.
Define internal standards for AI experimentation, evaluation, deployment, and monitoring across Creative Cloud.

What we're looking for

8+ years of software engineering experience with depth in systems-level work
Strong experience in systems engineering using Python, Go, TypeScript or similar languages
Experience integrating LLMs and AI APIs into production systems including cost optimization
Expertise in building distributed systems, developer platforms, or infrastructure services
Proficiency in observability, metrics, logging, and tracing systems for large-scale operations
Ability to convert experimental workflows into secure, scalable, production-grade services

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