Senior Staff Software Engineer, AI

OverviewCome join the Intuit team as a Senior Staff AI Engineer.Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customer’s needs in all Intuit products.You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.ResponsibilitiesLead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.Build a backend service with AI in its core at scale (millions of users and requests daily)Collaborate with stakeholders to define success criteria and align model metrics with business goalsWork side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use casesExplore the state-of-the-art technologies and apply them to deliver customer benefitsQualifications10+ years industry experience bringing AI models from modeling to productionExpertise and experience in data mining algorithms and statistical modeling techniques such as classification, regression, clustering, anomaly detection, and text miningStrong understanding of the Software design and architecture processExperienced with working in cloud production-grade high-scale microservices environmentLanguages such as Python & JavaBuilding and maintaining AI based applications at scale in production Experience with agentic systems or multi-agent orchestration in AI workflows and AI observability practices.Exposure to Knowledge Graphs, RAG (Retrieval-Augmented Generation), or semantic search.Understanding of AI infrastructure components, including the prompt lifecycle, fallback logic, and feature-level configuration.Excellent oral and written English communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research), or equivalent work experienceAdvantageData science model training:Well versed in Data Science languages, tools and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)Familiarity with vector databaseMachine Learning experienceIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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.