below marketmost similar roles pay hereabove market
This role pays more than
61%
of similar roles. Most pay
$148,112–$222,500
— the blue band above.
At the midpoint, this role pays about
$201k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
255 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 236 roles with salary data.
Forward Deployed Engineer (MTV) joins the Engineering team to bridge the gap between core product development and specific customer needs within the enterprise finance space. You will work embedded with customers to build production automation, specifically deploying customer-specific configurations of AI Agents to automate complex accounting processes. Responsibilities include building pre-sale proofs-of-value using prospect data, performing deep technical troubleshooting, and leading high-impact transformation engagements. You will utilize a technical stack including Python, SQL, REST APIs, GraphQL, and webhooks. Core competencies involve deep experience with Agentic AI frameworks like LangChain and LangGraph, as well as LLMs from OpenAI, Gemini, and Anthropic. This role solves the problem of integrating AI into the general ledger to strengthen internal controls and remove manual work from real-world accounting environments.
What does a Forward Deployed Engineer earn?
Median $219575 from 46 postings across 19 companies.
Build working proofs-of-value using prospect data to demonstrate real integrations and outputs during the sales cycle.
Lead technical evaluations including architecture reviews, security compliance, and integration feasibility for IT and controllership teams.
Architect and deploy customer-specific AI Agent configurations to automate complex accounting processes in production environments.
Perform deep technical troubleshooting by reviewing Python code, writing SQL for integrations, and diagnosing API-driven workflow issues.
Serve as the primary technical point of contact to guide customers through workflow redesign and AI Agent adoption.
Surface technical feedback and integration requirements to Product and Core Engineering to influence the product roadmap.
Create implementation guides and reusable assets to standardize deployment processes and scale impact.
What we're looking for
5 to experience in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable customer-embedded engineering role.
Deep experience with Agentic AI including LangChain, LangGraph, MCP servers, multi-agent systems, RAG, vector stores, and hybrid retrieval.
Experience with LLMs and tooling such as OpenAI, Gemini, Anthropic, GitHub Copilot, Gemini Code Assist, and prompt engineering.
Deep experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations.
Ability to manage multiple technical deployments simultaneously under delivery pressure and lead technical troubleshooting calls with customers.
Demonstrated ability to translate ambiguity into executable requirements and communicate insights clearly to both engineers and executives.
Background in high-growth SaaS, applied AI, or fintech/ERP/accounting-adjacent domains (preferred).
Domain experience in construction, nonprofit, manufacturing, wealth management, healthcare, franchise, or field services (preferred).