Senior AI Systems Engineer

Adobe

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CASeattle, WANew York, NYChicago, IL
Salary
$159,200–$301,600 / yr
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $230k
$133k $320k
below market most similar roles pay here above market

This role pays more than 76% of similar roles. Most pay $156,875–$225,250 — the blue band above. At the midpoint, this role pays about $230k versus about $191k 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 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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View all roles at Adobe

At a glance

TL;DR · Senior AI Systems Engineer

The Senior AI Systems Engineer joins the team building foundational AI systems and native infrastructure for product engineering. In this role, you will design and build native C++ infrastructure, service integration layers, and reliability mechanisms to enable AI-powered features to operate safely and efficiently within complex software products. You will develop high-quality C++ components for performance-sensitive environments, manage service connectivity, and create evaluation frameworks for AI workflows, including automated task execution and regression testing. Key technologies and skills include modern C++ design, memory management, concurrency, and experience integrating LLMs or agents into production systems. You will solve the technical challenge of bridging deterministic software with non-deterministic AI outputs, ensuring reliability, observability, and security across native clients and backend AI services through robust architecture and technical strategy.

What you'll do

  • Design and build native C++ infrastructure to connect product codebases to AI-powered services and workflows.
  • Define execution interfaces, schemas, validation layers, and error-handling contracts for AI-driven actions.
  • Build high-quality C++ components for performance-sensitive, cross-platform environments including service connectivity and concurrency.
  • Design evaluation frameworks for AI workflows, including automated task execution, output validation, and regression testing.
  • Define safety guardrails, capability boundaries, and fallback paths for AI-initiated actions.
  • Create privacy-conscious tracing, observability, and diagnostics for model-backed systems.
  • Guide long-term architecture decisions through ADRs, design documents, and technical reviews.
  • Set engineering direction for native clients, backend AI services, and orchestration layers.

What we're looking for

  • 10+ years of professional software engineering experience with significant depth in C++.
  • Experience building or maintaining large, mature, performance-sensitive codebases.
  • Expertise in modern C++ design, memory management, concurrency, API design, debugging, and systems-level performance.
  • Experience building cross-platform software across Windows, macOS, Linux, or similar environments.
  • Hands-on experience integrating AI, LLMs, agents, or model-backed systems into production or production-adjacent software.
  • Practical understanding of AI system failure modes and experience designing reliable interfaces between AI and deterministic software.
  • Strong systems architecture skills, including tradeoff analysis, technical strategy, and architecture documentation.
  • Experience with frontier model APIs, agentic workflows, or AI evaluation frameworks (preferred).

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