Base Salary
$203k - $274k/yr
Responsibilities
- Develop robust AI-native solutions for ambiguous customer problems.
- Build and operate LLM orchestration, multi-agent, retrieval, tool-use, evaluation, and guardrail capabilities.
- Design and implement intelligent workflows with automation, approvals, explainability, and human-in-the-loop collaboration.
- Architect the Mid-Market intelligence platform and deliver systems from concept through production.
- Lead peer reviews for estimates, designs, code, evaluation, safety, and observability standards.
- Drive instrumentation, offline evaluations, online experimentation, and quality monitoring for AI-powered features.
- Mentor engineers and serve as a technical leader across teams and stakeholders.
- Resolve defects across testing, pre-production, production, and post-release phases.
- Partner with product management, design, and business units to influence product and technical solutions.
- Guide technical discussions, cross-functional alignment, and high-impact end-to-end delivery.
Requirements
- A BS or MS in Computer Science or a related area, or equivalent experience.
- At least 7 years of experience architecting and developing high-scale distributed systems and web applications.
- Strong applied AI experience spanning traditional ML and Generative AI, with agentic production experience preferred.
- Experience with LLM APIs, orchestration frameworks, prompt and context engineering, RAG/retrieval, tool use, function calling, multi-agent architectures, and evaluation or guardrail frameworks.
- At least 7 years of experience with object-oriented languages and strong Java and Python design and coding skills.
- Experience with data processing and data movement technologies such as Spark/PySpark, Kafka, and feature or vector stores.
- Experience instrumenting, evaluating, and iterating on production AI systems through offline evaluations, online experimentation, and quality or safety monitoring.
- Proficiency using AI-driven development tools.
- Experience with test automation, TDD, and comprehensive integration testing.
- Strong relational database design and large-scale data implementation experience.
- Demonstrated ability to mentor engineers, lead technical discussions, and drive cross-functional alignment.
- Excellent communication skills and deep understanding of software engineering fundamentals.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- Position may be eligible for cash bonus, equity rewards, and benefits under applicable plans and programs.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.