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# Principal Software Engineer

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $261,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Software, Distributed Systems, Spring Framework, Python (Programming Language), Node.Js, Software Architecture, Azure Machine Learning, TypeScript, ReactJS, Swiftui, Large Language Models, Multi-Agent Systems, Backend, Kotlin, AngularJS, Information Technology, Front End Software Development
- **Published:** September 7, 2026
- **Apply:** https://dejobs.org/x/x/A316C97101B5480A99A8089268A672B7/job/

## About the Role

* 12+ years developing systems and software for large scale business environments
 * 8+ years designing complex distributed systems, platforms, or business applications
 * Hands-on experience integrating AI into production software, ideally driving AI projects standalone with commoditized AI tools and agentic workflows.
 * Experience modernizing systems toward AI-native patterns; experience driving AI architectural decisions across multiple teams a plus
 * Full-stack experience with modern AI/ML platforms (Vertex AI, SageMaker, Bedrock), LLM APIs, agent orchestration frameworks, vector databases, and Python.
 * Depth in at least one of:
 * Front-end: React, Angular, SwiftUI (iOS), Kotlin (Android)
 * Back-end: Java, TypeScript, Spring, Node.js
 * Production experience in AWS or GCP
 * BS/MS in Computer Science or related field; advanced degree preferred
 * Track record of influencing technical strategy across business units and aligning executives
 * Strong mentor; able to develop technical leaders and shape engineering culture
 * Excellent communicator; makes decisive technical calls in ambiguity
 * Drives results across cross-functional, globally distributed teams

## Description

* Anticipate challenges that need fundamentally new solutions and shape Intuit's long-term technical direction
 * Design scalable, resilient, and adaptive systems that unlock innovation, velocity, and value
 * Recognize where AI applies within complex systems and lead the conversion of existing systems to AI-native architectures
 * Make tradeoffs across AI techniques and algorithm choices to ship reliable, production-grade software
 * Identify, champion, and integrate industry-leading or new technologies that create competitive advantage
 * Set engineering standards for quality, security, and maintainability that others adopt
 * Align stakeholders across teams and business units; drive execution and unblock delivery
 * Coach technical leaders; advise senior leadership on team structure and engineering practices


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