below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$169,550–$231,000
— the blue band above.
At the midpoint, this role pays about
$308k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
255 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 236 roles with salary data.
As a Principal Software Engineer, you will join the AI-Powered Work team to lead the technical strategy and engineering of shared capabilities that help employees find information and complete complex workflows through AI agents. You will turn ambiguous business problems into production systems by building reusable capabilities for permission-aware context, agent orchestration, and business-system integrations. Your daily work involves writing code, designing distributed architectures, and establishing evaluation datasets to balance accuracy, latency, and cost. You will utilize Python, Java, or TypeScript to build cloud services that integrate enterprise applications, identity systems, and data platforms. This role focuses on the technical challenge of designing dependable human-AI collaboration, ensuring agent actions are traceable and recoverable while managing the complexities of data freshness and recovery from partial failures.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Establish a multiyear architecture and technical roadmap for AI-powered work and shared capabilities.
Lead engineering for permission-aware context, agent orchestration, and business-system integrations.
Write production code and develop reference implementations for distributed execution and data freshness.
Design human-AI collaboration systems that define agent actions, approvals, and traceability.
Establish production quality bars including evaluation datasets, monitoring, and incident practices.
Partner with product leaders to measure improvements in workflow completion time and employee effort.
Mentor Staff and Senior Staff engineers while developing shared technical standards for security and maintainability.
What we're looking for
15+ years of software engineering experience, including substantial ownership of large enterprise systems and complex distributed architectures.
Demonstrated technical leadership across multiple teams with a record of turning long-term architectural direction into shipped software.
Hands-on experience deploying AI capabilities into production, including language-model APIs, retrieval, context engineering, tool execution, and agent orchestration.
Strong programming and system-design skills with depth in Python, Java, TypeScript, or comparable languages.
Experience building cloud services and integrating enterprise applications, identity systems, and data platforms.
Practical experience evaluating AI behavior, diagnosing failures, and improving quality, security, performance, and operating cost.
A degree in Computer Science or a related field, or equivalent practical experience.
Experience with employee productivity platforms, enterprise workflow automation, developer tooling, and regulated or sensitive data environments (preferred).
Python
AI
ML
LLM APIs
Vertex AI
SageMaker
Bedrock
Vector Databases
AWS
GCP
Java
TypeScript
Node.js
Spring
React
Angular
SwiftUI
Kotlin
Distributed Systems
Agent Orchestration
Python
Java
Scala
Go
MLOps
LLM
Agentic AI
CI/CD
Distributed Systems
IaC
Containers
Ray
REST
System Design
Data Engineering
Platform Engineering
Observability
RLHF
DPO