Staff Software Engineer, Futures (AI) Full-time

The Intuit Futures Organization is a team dedicated to pushing boundaries and driving innovation within the company. The team achieves this through a variety of means, such as experimentation, extensive research, POC and MVP initiatives. Through these methods, the team aims to develop and incubate emerging technologies, user experiences, and capabilities. By constantly exploring new ideas, the Intuit Futures team identifies and develops solutions that have the potential to be transformative to our customers, products, and business. The team’s work ensures that Intuit remains at the forefront of innovation and can continue delivering valuable products and services that meet the evolving needs of our customers. As a Staff Engineer within the Intuit Futures organization, you will play a pivotal role in driving innovation and developing cutting-edge products and technologies that benefit both our internal and external customers.

Responsibilities

• Drive significant technology initiatives end-to-end and across multiple layers of architecture.
• Architect and develop scalable applications or systems.
• Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems.
• Provide recommendations and best practices for application development, platform development, and developer tools.
• Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies.
• Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs.
• Work with global, cross-functional teams across time zones.
• Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).
• Proactively identify opportunities to enhance software applications with AI technology.
• Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes.
• Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics.