Principal AI Systems Engineer, C++ / Applied AI

Adobe

Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CASeattle, WANew York, NYChicago, IL
Salary
$248,900–$360,500 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $305k
$148k most similar roles pay here $383k

This role pays more than 94% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $305k versus about $209k 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 301 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 299 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Principal AI Systems Engineer, C++ / Applied AI

As a Principal AI Systems Engineer at Adobe, you will join a team dedicated to building foundational AI systems and native infrastructure for product engineering teams. This hands-on role requires deep C++ expertise and practical AI fluency, focusing on designing and implementing large-scale production software architecture that integrates AI capabilities into complex products. Your daily tasks include architecting native C++ infrastructure, defining clean execution interfaces, and ensuring reliable integration of AI-driven actions within existing workflows. You will also build evaluation frameworks for AI systems, design privacy-conscious observability tools, and mentor senior engineers to raise the quality bar for AI systems engineering. The ideal candidate has over a decade of experience in C++, with expertise in modern C++ design, memory management, concurrency, and systems-level performance, as well as hands-on experience integrating AI into production environments.

What you'll do

  • Design and build native C++ infrastructure for AI-powered services.
  • Define execution interfaces and error-handling contracts for AI-driven actions.
  • Create reliable bridges between product capabilities and backend AI systems.
  • Build evaluation frameworks for AI workflows, including automated testing.
  • Ensure AI features are measurable, debuggable, and production-ready.

What we're looking for

  • 10+ years of professional software engineering experience with significant depth in C++.
  • Expertise in modern C++ design, memory management, concurrency, API design, debugging, and systems-level performance.
  • Hands-on experience integrating AI, LLMs, agents, or model-backed systems into production environments.
  • Strong practical understanding of AI system failure modes and reliability issues.
  • Experience designing reliable interfaces between AI systems and deterministic software systems.
  • Proven ability to lead technical direction and mentor senior engineers across multiple teams.

More like this

Similar roles

Principal AI Engineer

Salesforce

New York +4 31 days ago $218,400$365,200
Salesforce Distributed Systems CI/CD Infrastructure-as-Code API Integration AI Agents LLM Workflows Automated Testing Observability Event-Driven Design Microservices Security & Compliance Prompt Engineering System Context Design Evaluation Frameworks GitHub Copilot Claude Code Cursor Salesforce Marketing Cloud Agentforce Google Workspace Slack

Principal AI Engineer

Salesforce

Remote (San Francisco, CA) +4 30 days ago $197,300$313,700
AWS Python GitHub Actions ArgoCD Terraform Docker Kubernetes Grafana Braintrust LangSmith CI/CD AgentOps Salesforce Ecosystem Vector Databases Graph Databases RAG Pipelines Snowflake Kafka Flink
Remote

Principal AI Engineer, AI Builder

Intuit

Mountain View, CA +1 8 days ago $261,500$353,500
Python TensorFlow PyTorch AWS GCP Azure LLMs Reasoning Models Multi-modal Models Forecasting and Planning Decision Making Under Uncertainty Multi-objective Optimization Learning from Human Feedback Data Cognition Deep Personalization MLOps CI/CD A/B Testing

Principal AI/ML Engineer

Abbott

Santa Clara, CA 25 days ago $148,700$297,300
AWS Kubernetes Terraform Docker CI/CD Azure ML SDK Azure Data Factory Databricks Spark SQL NoSQL Airflow Scrum Kanban MLOps GenAI RAG MCP Prompt Engineering Microservices Security by Design

Principal AI Software Engineer

Palo Alto Networks

Santa Clara, CA 15 days ago $167,000$270,500
Python Java Go AWS Azure GCP Salesforce LLM GPT Anthropic Llama LangChain LangGraph SQL Docker Kubernetes CI/CD Prometheus Grafana