Field AI Engineer for Enterprise Finance Automation

Intuit, Inc.; New York (NY); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit seeks a Forward Deployed Engineer to be the technical bridge between sales, engineering, and customers in its Enterprise Suite. You will craft Proofs of Value, architect AI Agent deployments, and guide CFOs through ROI discussions in live deals and post-sale implementations.

The role blends engineering rigor with enterprise accounting insight, requires deep AI tooling experience, and offers field responsibilities including travel and customer-facing leadership.

Qualifications

• 5 to 10+ years in Forward Deployed Eng/ Solutions Eng/ Sales Eng or similar embedded role.
• Deep experience with Agentic AI and multi-agent workflows.
• Strong REST, GraphQL, SQL, and enterprise integration skills.
• Comfort translating technical value to executives and economic buyers.
• Proven ability to manage multiple deployments under delivery pressure.
• Willingness to travel up to 30-40% for pre-sale and post-sale work.

Responsibilities

• Pre-sale: build a working proof-of-value in prospect data/environments.
• Collaborate with Account Executives to run discovery and build GL/account mappings.
• Lead technical evaluation, architecture, security/compliance reviews, RFP responses.
• Provide ROI narrative to CFOs/Controllers as part of deal.
• Post-sale: deploy AI Agent configurations, troubleshoot SQL-based issues, maintain SLAs.
• Own customer relationships and drive expansion; travel as needed.

Skills

Agentic AI

LangChain

LangGraph

RAG

Vector stores

Hybrid retrieval

Tools

REST APIs

GraphQL

Webhooks

SQL

Enterprise integrations

OpenAI

Gemini

Anthropic

GitHub Copilot

Code Assist

Job description

Intuit seeks a Forward Deployed Engineer to be the technical bridge between sales, engineering, and customers in its Enterprise Suite. You will craft Proofs of Value, architect AI Agent deployments, and guide CFOs through ROI discussions in live deals and post-sale implementations.

The role blends engineering rigor with enterprise accounting insight, requires deep AI tooling experience, and offers field responsibilities including travel and customer-facing leadership.