Principal AI Engineer - AI Builder

Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With over 100 million customers worldwide using our flagship products - TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. Intuit’s strategy is to be a global AI-driven expert platform delivering world-class experiences for our customers at unprecedented speed and scale. With AI at the heart of the strategy, Intuit has created a new organization led by our Chief AI Officer to drive Intuit’s evolution as a global AI technology leader through a dedicated research and innovation focus and a partnership with leading academic and industry organizations. Intuit’s AI teams have access to rich data and production grade AI platforms, enabling our scientists and engineers to move quickly from research to impact. Job Overview We are seeking a self-motivated, hands-on Principal AI Engineer who operates with a high degree of autonomy and builds impactful products with high velocity to join Intuit’s Foresight organization. You will be responsible for leveraging the latest advances in AI to solve complex, high-impact technical problems that unlock entirely new AI-driven experiences through the new 0 → 1 AI native products that you will build. Your work will directly shape how millions of Intuit’s customers, both small businesses and individuals, prosper through the effective use of AI within our platforms and products. If you are a builder who loves to ship fast, learn continuously, and independently drive impact, then this is the right role for you. Responsibilities Shape and execute on a multi-year technical roadmap in partnership with Intuit’s AI leadership ensuring that Intuit stays on the leading edge of AI innovation through incubation and development of emerging new technologies and capabilities. Build end-to-end solutions that demonstrate how the latest advances in AI can drive transformative new experiences for our customers. Collaborate closely with business units and platform teams to accelerate testing and deployment of new technologies and capabilities into Intuit’s products and platforms. Ensure excellence in data quality, model evaluation, and lifecycle management through rigorous monitoring, testing, and retraining practices. Champion responsible AI practices, ensuring models are fair, transparent, and trustworthy. Mentor and grow AI talent, championing a culture of innovation, ethics, and rigor. Contribute through publications, patents, talks, or open source contributions to maintain Intuit’s position on the forefront of AI. Qualifications BS / MS / Ph.D. in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research or related discipline. Deep technical AI expertise especially in areas like training LLMs, reasoning models, multi-modal models and their application to Forecasting and Planning, Decision Making Under Uncertainty, Multi-objective Optimization, Learning from Human Feedback, Data Cognition, and Deep Personalization to build production-grade scalable AI agents and systems. 8+ years of experience or significant demonstrated impact developing and deploying AI solutions at scale that successfully solve challenging customer problems. AI Tools Fluency: Hands-on experience using AI coding tools (e.g., Claude Code, Cursor, Codex) to augment and accelerate your daily development workflows. Experience building large-scale Machine Learning applications on cloud platforms like AWS, GCP, or Azure is a strong plus. Velocity and Adaptability: An aggressively entrepreneurial spirit with a track record of moving fast, delivering results quickly, and an insatiable hunger for learning and immediately leveraging new AI technologies and tools. Customer Obsession: A strong desire to be close to the customer, with demonstrated experience running A/B tests, prototypes, or rapid user experiments. Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training, A/B testing, and MLOps practices. 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: #J-18808-Ljbffr Intuit