Staff Software Engineer - AI-Driven Fintech & Edge Agents

Intuit; Livonia (MI); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit is rewriting money to run on AI agents with production-grade architecture and real data. You will own the technical vision for key fintech capabilities, shaping industry standards and cross-system risk management while partnering with compliance and domain teams to move proofs into real products.

The role emphasizes leadership across a polyglot stack (Java, Python, JavaScript/TypeScript) and Kubernetes-based runtimes, with a focus on scalable, secure, observable systems and fast delivery

Qualifications

• 8+ years of software development in large-scale environments.
• 5+ years designing distributed systems end-to-end.
• Ability to resolve ambiguity and define problems for industry-wide standards.
• Experience with agent-driven development and observability.

Responsibilities

• Own the technical vision for a major capability area and design scalable architecture.
• Lead technical design to position Intuit's work as industry credible input.
• Anticipate cross-system risk across the portfolio and dependencies.
• Bridge engineering and compliance to move proof points toward a product path.
• Champion investment in frontier fintech tech and influence broader team direction.

Skills

Large-scale software development

Distributed systems design

Agent-driven development

Cross-functional collaboration

Mentoring

Java

Python

JavaScript/TypeScript

Education

BS/MS in Computer Science or related field

Tools

Kubernetes (AWS EKS)

React/Node

Java

Python

Job description

Intuit is rewriting money to run on AI agents with production-grade architecture and real data. You will own the technical vision for key fintech capabilities, shaping industry standards and cross-system risk management while partnering with compliance and domain teams to move proofs into real products.

The role emphasizes leadership across a polyglot stack (Java, Python, JavaScript/TypeScript) and Kubernetes-based runtimes, with a focus on scalable, secure, observable systems and fast delivery