Base Salary
$262k - $354k/yr
Responsibilities
- Define the multiyear technical architecture and roadmap for AI-powered work, including decisions about what to build, integrate, or buy.
- Lead engineering for reusable capabilities such as permission-aware context, agent orchestration, business-system integrations, and AI evaluation.
- Write production code, develop reference implementations, lead design reviews, and resolve distributed execution, data freshness, identity, and partial-failure problems.
- Design dependable human–AI collaboration with appropriate agent autonomy, approval workflows, traceability, and recovery mechanisms.
- Establish evaluation datasets, release criteria, monitoring, incident practices, and quality, reliability, privacy, latency, and cost standards.
- Partner with product managers and functional leaders to select workflow opportunities and measure improvements in completion time, quality, and employee effort.
- Mentor Staff and Senior Staff engineers, develop engineering standards, align teams on architecture decisions, and communicate tradeoffs to senior leaders.
Requirements
- 15+ years of software engineering experience, including substantial ownership of large enterprise systems and complex distributed architectures.
- Demonstrated technical leadership across multiple teams and 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.
- Experience evaluating AI behavior, diagnosing failures, and improving quality, security, performance, and operating cost.
- Sound judgment about when to use AI, deterministic software, or human decisions.
- Ability to influence without direct authority, develop technical leaders, and make decisions amid uncertainty.
- A degree in Computer Science or a related field, or equivalent practical experience.
- Experience with employee productivity platforms, enterprise workflow automation, developer tooling, or regulated or sensitive data environments is valuable.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- Position may be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
- Expected base pay range is $261,500–$353,500 annually in Mountain View.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.