Staff AI Engineer — Enterprise Workflow Innovator

Intuit, Inc.; San Diego (CA); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit, Inc. is seeking an experienced Staff Forward Deployed Engineer to embed with business partners and own complex workflows from discovery through production rollout.

You will combine deep engineering with broad product thinking to deliver reliable, reusable AI-enabled solutions at scale. In this role you will lead design decisions within your workstream, mentor engineers, and collaborate with platform teams to ensure measurable improvements in workflow efficiency, output quality, and

Qualifications

• 7+ years of experience delivering complex production software.
• Strong ownership, able to ship from discovery to production.
• Experience building cloud services and integrating APIs.
• Experience with AI-enabled applications or agents.
• Excellent written and verbal communication with nontechnical partners.

Responsibilities

• Understand how employees work today, including decisions, handoffs, source systems, and exceptions; define measurable baselines and success criteria.
• Build prototypes early to test riskiest assumptions with users and refine requirements.
• Write production software across UI, services, agents, data access, and integrations; connect enterprise systems via approved APIs and tool interfaces.
• Ground solutions with knowledge and business data; implement permissions, provenance, and structured outputs for user trust.
• Create task-level evaluations with domain experts; establish regression tests, monitoring, and deployment controls.

Skills

Python

Java

TypeScript

Tools

APIs

Job description

Intuit, Inc. is seeking an experienced Staff Forward Deployed Engineer to embed with business partners and own complex workflows from discovery through production rollout.

You will combine deep engineering with broad product thinking to deliver reliable, reusable AI-enabled solutions at scale. In this role you will lead design decisions within your workstream, mentor engineers, and collaborate with platform teams to ensure measurable improvements in workflow efficiency, output quality, and