Principal Software Engineer

Come join the GBSG Mid-Market PD team as a Principal Software Engineer. Mid-Market is one of the fastest growing segments of the business, and we are on a mission to build the industry's truly AI-native ERP. This is a rare opportunity to come in at the ground floor and shape both the product and the technology foundation — reimagining how mid-market businesses run their operations with AI at the core, not bolted on. As a Principal Engineer, your key responsibility will be to leverage the state of the art in AI and agentic technology to enable AI-native product experiences that fundamentally change how our customers work.

Responsibilities

- Leverage the state of the art in AI and agentic technology to design and deliver AI-native product experiences for mid-market ERP customers

- Shape and build the architecture of an AI-native ERP from the ground up — where agents, automation, and human collaboration are first-class design principles

- Build AI-native workflows embedding AI-driven automation with seamless AI-to-human collaboration (human-in-the-loop, approvals, explainability)

- Design AI-native intelligent systems that proactively capture data signals, prevent issues before they occur, automate processes, and improve decision making

- Evaluate and apply emerging AI/agentic patterns (LLM orchestration, multi-agent systems, tool use, retrieval, evaluation frameworks) and set the technical direction for their adoption

- Drive significant technology initiatives end to end and across multiple layers of architecture

- Drive design and implementation of durable software solutions that solve critical customer problems in the mid-market segment

- Make data-backed decisions and drive the right level of instrumentation, evaluation, and experimentation for AI-powered features

- Deliver technical design and implement highly available, scalable, and secure services with excellent quality — including the reliability, safety, and observability standards required for production AI systems

- Capture requirements and use cases in partnership with product and design

- Partner with other groups both inside and outside of Intuit for cross-functional design, solution integration, and onboarding of SaaS/PaaS/web/mobile offerings

- Recommend development best practices, tools, and paradigms — including AI-assisted development workflows

- Actively stay abreast of AI/agentic, SaaS, and PaaS trends and standards; recommend best practices and share learning

- Pursue and resolve complex or uncharted technical problems and share key learnings

- Provide technical leadership and be a role model to software engineers pursuing a technical career path

- Coach and mentor other engineers in AI-native development practices, process, and methodologies

- Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements

Qualifications

- BS/MS in Computer Science or related area

- 8+ years of experience developing systems/software for large business environments

- 5+ years of experience designing complex distributed systems, management products, or business applications (ERP, financials, or operations domains a strong plus)

- Strong, demonstrated background in applied AI — both traditional ML and Generative AI. Hands-on development and production rollout of agentic experiences is a huge plus

- Experience with modern AI/agentic building blocks: LLM APIs and orchestration frameworks, prompt and context engineering, RAG/retrieval, tool use and function calling, multi-agent architectures, and evaluation/guardrail frameworks

- Strong design and coding skills in one or more of Java, Python, TypeScript; experience with REST/JSON service design

- Strong OOD and service-oriented/domain-driven design principles, with ability to implement them in a language of choice

- Strong experience leading design and implementation of robust and highly scalable web services

- Experience with real-time (Kafka, Pub/Sub) and batch processing architectures

- Background in data processing and data movement (e.g., Spark/PySpark, SageMaker, feature/vector stores) to power AI-driven experiences

- Experience instrumenting, evaluating, and iterating on AI systems in production (offline evals, online experimentation, quality/safety monitoring)

- Skilled in software development lifecycle processes; experience with SCRUM, Agile, and iterative approaches

- Able to operate at highly varying levels of abstraction — from business strategy to product strategy to high-level and detailed technical design to implementation

- Synthesize achievable solutions from diverse inputs, alternative sources (build/buy/partner), and complex data

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:
Mountain View $261,500 - $353,500