Job description

Come join the Intuit Enterprise Builders team as a Software Engineer. As Intuit expands its footprint in the Mid-Market and Enterprise segment, you will be part of the group enabling the product to be able to expand into various industries by leveraging AI and relevant technology frameworks. Responsibilities • 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 • 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 • 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 Qualifications • Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders • 3+ years of experience developing systems/software for large business environments • 2+ years of experience designing complex distributed systems, management products, or business applications • Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions • Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) • Back-end technologies like Java, Typescript, Spring, Express (NodeJS) • Experience with AI technologies like SageMaker, Vertex, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python • Prior working experience in a cloud computing environment like AWS/GCP is highly desired • Prior experience working in teams that have built AI native applications for 1+ years • BS/MS in Computer Science or related area • 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 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $136,000 - $184,000

Requirements

Must-haves

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
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
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
Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
3+ years of experience developing systems/software for large business environments
2+ years of experience designing complex distributed systems, management products, or business applications
Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions
Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
Back-end technologies like Java, Typescript, Spring, Express (NodeJS)
Experience with AI technologies like SageMaker, Vertex, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
Prior working experience in a cloud computing environment like AWS/GCP is highly desired
Prior experience working in teams that have built AI native applications for 1+ years
BS/MS in Computer Science or related area
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

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Platform: career-feeds
Effort: medium