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# Senior Staff Software Engineer, Workforce Solutions

- **Company:** Intuit Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $220,500 - $298,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, C Sharp (Programming Language), Cloud Computing, Distributed Systems, Java Platform Enterprise Edition (J2EE), Machine Learning, Object-Oriented Software Development, QuickBooks (Software), Software Engineering, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Information Technology, Software Performance
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-staff-software-engineer-workforce-solutions-new-york-ny--dcaa8a3c-6cee-4a1f-b467-595ed62a1cae

## About the Role

Software Engineering, Software Engineering, Intuit Quickbooks, Global Financial Markets, Team Lead/Manager, Talent Management, Java, Cloud Computing, React.js, Problem Solving Skills, * 12+ years of relevant experience building web, software, or data-intensive applications, with a track record of technical leadership at the Senior staff level or above.

 * Demonstrated experience architecting end-to-end ecosystems for analytical and customer-centric platforms at scale.
 * Expert-level proficiency in at least one object-oriented language (Java/J2EE or C#), and the judgment to make sound design decisions across large, distributed systems.
 * Hands-on experience designing and shipping AI/ML capabilities in production, ideally including LLM-based or agentic systems (multi-agent orchestration, retrieval-augmented generation, prompt and context engineering, agent memory, evaluation, and guardrails).
 * Proven ability to influence technical direction across teams and to communicate complex trade-offs to senior product and business leaders.
 * BS/MS in Computer Science or equivalent practical experience.

## Description

* Architect analytical and customer-centric platforms that are scalable, secure, maintainable, and interoperable across a large ecosystem of systems,
 * Stay deeply hands-on, contributing roughly 40 to 60 percent to development across all phases of the software lifecycle, with the remaining time spent on architecture, technical strategy, cross-team alignment, and raising engineering quality.
 * Drive the most complex, ambiguous, cross-team technical problems to resolution, spanning multiple teams and domains, and ensure end-to-end quality in both technology and customer experience.
 * Define and evolve the technical standards, patterns, and reference architectures that other engineers and teams build on, and establish how we measure the impact, reliability, and safety of AI in production.
 * Take AI integrations to production responsibly: design evaluation, observability, and guardrail frameworks, and assess impact on software performance, seller productivity, and customer satisfaction using clear metrics.
 * Influence and communicate effectively with senior product and business leadership, translating technical strategy and trade-offs for non-technical audiences and shaping the roadmap.
 * Serve as a technical leader and force multiplier: coach and mentor Staff and senior engineers, grow the bench of AI-capable engineers, and lead through influence across the cross functional org.
 * Stay current with the rapidly evolving AI and data landscape, evaluate and introduce emerging technologies, and proactively identify high-leverage opportunities to apply AI across the platform.