Principal, AI Workflow Enablement Lead

Responsibilities

• Drive blueprint-led redesign with AI Champions across non-engineering functions.
• Apply approved blueprint patterns to the workflows we prioritize.
• Coach Champions through configuration, integration, evaluation, and rollout in their real work, not in training settings.
• Hold the line on blueprint standards.
• Design redesigns to stick. Set baselines before launch. Instrument the pre-state with the Telemetry and Insights Lead. Align role expectations and habits with HR Craft Leaders. Validate the post-state.
• Treat behavioral adoption as a design constraint from day one, not a retrofit.
• Drive blueprint adoption, not workflow possession. The redesigned workflow is the default execution model in production. The function owns it after you step back. The hand-off is the deliverable, not the redesign itself.
• Surface friction back to platform and architecture. Identify where blueprint patterns break down, where the platform is missing capability, and where governance creates drag. Feed signal to the Enterprise Solution Architect and the platform engineering team.
• Connect workflow redesign to workforce evolution. Every redesign changes what the people doing the work need to know, do, and decide. Partner with HR Craft Leaders and the People & Places AI Workforce Transformation team.

Qualifications

• 15+ years of progressive experience designing, building, or operating production AI/ML systems, agentic workflows, or enterprise workflow platforms.
• At least 3 years driving change inside other people’s organizations.
• Demonstrated track record of taking AI-powered workflows from prototype into in-production adoption at enterprise scale.
• Experience influencing and aligning VP-level and above stakeholders on workflow strategy and investment decisions.
• Bachelor’s degree required. Computer Science, Engineering, or a related technical field preferred.
• Preferred Master’s degree in Computer Science, Engineering, or a related technical field.
• Background in enterprise HR, Finance, Legal, Marketing, or Customer Success technology.
• Experience designing or implementing responsible AI frameworks, evaluation pipelines, or AI governance programs.
• Prior experience as a forward-deployed engineer or AI solutions architect inside a customer’s organization.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits).

The Expected Base Pay Range For This Position Is Mountain View $243,000 - $328,500 San Diego, CA $230,000- $311,000