Senior Staff Engineer

Staff Software Engineer

Join Intuit as a Staff Software Engineer to power global prosperity. We seek empathetic engineers to solve complex problems in collaboration with a dedicated cross-functional team. As a Staff Engineer and key architectural leader in PDX- Development Experience Ecosystem (DEE) group, you will define the long-term technical vision and drive the AI and agentic platform strategy for Intuit's development ecosystem for External Dev Portal. Your main role is building the comprehensive, end-to-end platform (infrastructure, data, and tooling) to seamlessly integrate Generative AI and multi-agent systems into the product development lifecycle.

Responsibilities:

• Architectural & Technical Leadership: Proven track record in solving highly complex, cross-cutting technical problems and establishing technical direction.
• Design for Extensibility: Leads architectural design for complex systems, effectively balancing technical debt with immediate business needs and designing for long-term extensibility.
• Driving Engineering Standards: Expertise in defining and enforcing clear coding principles, engineering standards, and testing strategies across diverse codebases.
• AI/GenAI Integration: Deep familiarity with AI principles, including building and integrating end-to-end AI solutions adhering to AI-Native principles.
• Strategic Execution: Executes highly complex, strategic initiatives, proactively resolving deeply embedded systemic impediments and architectural shortcomings.
• Adaptable Planning: Accelerates delivery by discerning between foundational decisions and reversible problems, ensuring quick value delivery on complex roadmaps.
• Product Influence: Identifies strategic unmet customer needs and influences product direction beyond the immediate team scope through deep market research.
• Business Acumen: Shapes product and business strategy by connecting customer problems to market trends and expertly managing quality trade-offs.
• Organizational Impact: Significantly accelerates productivity and raises the bar on engineering quality across multiple teams (10-20 individuals).
• Mentorship & Improvement: Guides and mentors other technical leaders, driving the resolution of systemic technical, tool, or communication gaps to boost organizational productivity.

Qualifications:

• BS/MS in Computer Science or related.
• 8+ years developing systems/software (Java, J2EE).
• 2+ years designing complex distributed systems or applications.
• Full-stack experience applying AI technologies/tools (SageMaker, Vert.x, LangChain, LLMs, Prompt Engineering, DialogFlow, Python) to solutions.
• 1+ years building AI-native applications.
• Demonstrated experience with generative AI models and frameworks, and deploying AI-powered solutions.
• Experience with one of: Front-end (React, Angular) OR Back-end (Java, Spring).
• Prior cloud computing (AWS/GCP) experience highly desired.
• Agentic Mindset, strong analytical, problem-solving, and communication skills.
• Strong mentoring skills; influences technical and non-technical people.
• Team player; collaborates effectively with cross-functional and global teams (across time zones).
• Able to work effectively in a fast-paced, complex environment.
• Excellent, persuasive communication to all levels (including executives).
• Self-starter; makes independent decisions.
• Experience driving results across cross-functional teams.

Intuit 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. 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: EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.