Overview
We’re investing in a culture of “builders” by fostering an environment where innovation, creativity, and bold thinking are encouraged. The “builder” mindset is necessary for us to accelerate our move toward AI-native experiences. This requires more builders who can rapidly apply AI and emerging technologies to solve our customers’ problems.
What you'll bring
- Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
- 8+ years of experience developing systems or software for large business environments
- 5+ years of experience designing complex distributed systems, management products, or business applications
- Full-stack development experience with AI technologies and tools; applying it to user experiences or backend solutions.
- Experience with AI technologies like SageMaker, Vertex, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
- Experience with at least one of the following:
- Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
- Back-end technologies like Java, Typescript, Spring, Express (NodeJS)
- Prior working experience in a cloud computing environment like AWS or GCP is highly desired
- Prior experience working in teams that have built AI native applications for 1+ years
- BS or MS in Computer Science or related area, or equivalent experience
Leadership Qualifications
- Team player possessing strong analytical, problem-solving, and communication skills
- Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
- Prefers working in a team and collaborates with other cross-functional partners
- Ability to work effectively in a fast-paced, complex technical environment
- Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
- Self-starter attitude and the ability to make decisions independently
- Experience driving for results across cross-functional teams while maintaining effective working relationships
- Demonstrated ability to work with global teams across time zones
How you will lead
- Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company
- Drives significant technology initiatives end-to-end, including horizontal layers of the architecture
- Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems
- Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment
- Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership.
- Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications
- Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems
Knowledge Of Building AI-native Applications
- Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies
- Understands evaluation tools to validate and measure the accuracy of solutions
- High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons
- Understanding of the latest tools and technologies that apply AI to real-world applications
Team Collaboration
- Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration
- Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features
Community
- Contributes to standards, patterns, and best practices that improve the engineering community
- Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements