Staff Forward Deployed Engineer, AI-Powered Work

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

Job summary

Intuit, Inc. is seeking a Staff Forward Deployed Engineer to embed with business partners and own complex workflows from discovery to production rollout. You will combine deep engineering with product thinking, test assumptions with users, and build reusable platform capabilities.

Responsibilities include prototyping, writing production code across layers, and ensuring scalable, observable solutions. You will mentor engineers and guide architectural decisions within your workstream.

Qualifications

• 7+ years delivering production software from unclear problems to launch.
• Strong Python/Java/TypeScript with cloud service experience.
• Experience building AI-enabled applications and agents.
• Staff-level leadership with cross-team influence and mentoring.
• Experience with enterprise workflows, SaaS integrations, or secure agent deployment.

Responsibilities

• Understand business needs and define measurable baselines with stakeholders.
• Prototype early to test riskiest assumptions with users.
• Write production software across layers and connect systems via APIs.
• Implement permissions, provenance, and approvals for traceability.
• Lead design decisions, mentor engineers, and drive reusable platform components.

Skills

Python

Java

TypeScript

System design

Ownership

Tools

Model Context Protocol

APIs

Job description

Intuit’s AI-Powered Work team helps employees redesign how work gets done with AI. We work with enterprise functions to understand their real problems, build useful solutions, and scale what works. We are looking for engineers who can move from an ambiguous business need to a working prototype and then own the path to a reliable production outcome.

As a Staff Forward Deployed Engineer, you will embed with business partners and own a complex workflow from discovery and technical scoping through implementation, production rollout, and sustained adoption. You will combine deep engineering skills with broad product thinking: understanding the problem, testing assumptions quickly, making delivery tradeoffs, and building reusable capabilities with the broader team.

Responsibilities

• Understand how employees work today, including decisions, handoffs, source systems, and exceptions. Partner with business owners and product leaders to select high-value problems, define a measurable baseline and success criteria, and sequence delivery around dependencies and data readiness.
• Build and demonstrate prototypes early to test the riskiest assumptions with users. Use evidence to refine requirements and redesign the workflow, choosing where AI, deterministic code, or human judgment best serves the outcome.
• Write production software across the needed layers: user experiences, services, agents, data access, and integrations. Connect enterprise systems through approved APIs and tool interfaces, including Model Context Protocol where appropriate.
• Ground solutions in relevant knowledge and business data. Implement permissions, provenance, structured outputs, and approval steps so users can understand results and retain control over consequential actions.
• Create task-level evaluations with domain experts, including ambiguous inputs and failure cases. Establish regression tests and release criteria; add monitoring, recovery paths, and deployment controls. Investigate production issues and balance quality, reliability, latency, and cost.
• Own delivery through sustained adoption. Work with business partners on rollout, training, feedback, documentation, and a clear ongoing support model. Measure workflow completion, output quality, cycle time, and user effort, and communicate demonstrated outcomes and remaining limitations.
• Lead solution design and technical decisions within your workstream, reviewing architecture with the Principal Engineer and platform teams. Mentor engineers, strengthen code and design reviews, and turn deployment lessons into reusable components and evidence-backed platform improvements.

Qualifications

• A record of independently delivering complex production software from an unclear problem through launch and iteration with 7+ years of experience, with strong technical ownership and measurable outcomes.
• Deep hands-on programming and system-design skills in Python, Java, TypeScript, or comparable languages. Experience building cloud services, integrating APIs and data systems, and debugging reliability and performance problems across system boundaries.
• Practical experience building AI-enabled applications or agents, with an understanding of retrieval, tool execution, evaluations, and when model outputs require validation.
• Strong product judgment: you can uncover the underlying need with nontechnical partners, define requirements and success measures, prioritize scope, and make tradeoffs across user value, delivery speed, and technical risk. You communicate clearly through writing and working demonstrations.
• Staff-level technical leadership demonstrated through ownership of a complex capability or workstream, cross-team influence, thoughtful design and code reviews, and mentoring that helps other engineers deliver maintainable software.
• Experience with enterprise workflows, full-stack product development, SaaS integrations, or secure agent deployment is valuable. Prior FDE titles or consulting experience are not required.
• Success means business partners use the solution in real work, the targeted workflow measurably improves, and the implementation is reliable, supportable, and reusable where it should be.
• Experience with enterprise workflows, full-stack product development, SaaS integrations, or secure agent deployment is valuable. Prior FDE titles or consulting experience are not required.

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). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $202,500 - $274,000