Senior Staff AI Platform Engineer — Scalable & Secure

Intuit

New York (NY)

On-site

USD 221,000 - 298,000

Full time

3 days ago
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Job summary

Intuit’s QuickBooks Workforce Solutions team is seeking a Staff Software Engineer in New York to architect analytics platforms and AI-enabled HCM tools that scale securely across our ecosystem.

You will stay hands-on roughly 40–60% of the time, lead cross-team initiatives, define technical standards, mentor senior engineers, and push AI integrations to production with measurable impact on performance and customer satisfaction.

Qualifications

  • 12+ years of experience leading web/software/data-intensive applications
  • Experience architecting end-to-end ecosystems at scale
  • Hands-on AI/ML production experience with LLM-based or agentic systems
  • Ability to influence technical direction and communicate with senior leaders

Responsibilities

  • Architect scalable, secure platforms across a large ecosystem
  • Contribute 40–60% hands-on development across the full software lifecycle
  • Drive complex cross-team technical problems to resolution with measurable impact
  • Define and evolve technical standards, patterns, and reference architectures for AI in production
  • Lead AI integrations to production with evaluation, observability, and guardrails
  • Influence and communicate strategy to senior product and business leaders
  • Coach and mentor Staff and senior engineers, grow AI-capable engineers
  • Stay current with AI/data trends and identify high-leverage opportunities

Skills

Technical leadership
End-to-end architecture
Production AI/ML deployment
Cross-team collaboration

Education

BS/MS in Computer Science

Tools

Java/J2EE
C#

Job description

Intuit’s QuickBooks Workforce Solutions team is seeking a Staff Software Engineer in New York to architect analytics platforms and AI-enabled HCM tools that scale securely across our ecosystem.

You will stay hands-on roughly 40–60% of the time, lead cross-team initiatives, define technical standards, mentor senior engineers, and push AI integrations to production with measurable impact on performance and customer satisfaction.

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