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Forward Deployed Engineer (FDE)

Enexus Global

Mountain View, California • Today

Easy Apply

Contract

$$75-80/hr.

Forward Deployed Solution Engineer - Applied AI FDE

ServiceNow, Inc.

Remote or Santa Clara, California • Today

Full-time

USD 201,300.00 - 352,300.00 per year

Forward Deployed Engineer (FDE)

GSS Infotech

Remote • 3d ago

Easy Apply

Contract

90 - 100

AI Engineer/Forward Deployed Engineer(FDE)

GSS Infotech

Remote • 2d ago

Easy Apply

Contract

80 - 90

Senior AI Forward Deployed Engineer (FDE)

High Bridge Consulting

Remote • 8d ago

Easy Apply

Contract

$50 - $80

Forward Deployed Engineer (FDE) Agentic AI & Enterprise Solutions

HAN IT Staffing Inc.

Remote or Plymouth, Minnesota • Today

Easy Apply

Contract, Third Party

Depends on Experience

Forward Deployed Engineer (FDE) - Remote

UnitedHealth Group

Remote • Today

Full-time

USD 203,200.00 - 348,400.00 per year

Job Details

Skills

API integration
full stack
Applied AI
Cloud Infrastructure
SLA

Summary

About the Role

Enterprise Suite is how the world's fastest-growing mid-market and enterprise finance teams run their books, close their quarter, and put AI agents to work on real accounting operations.
Forward Deployed Engineers (FDEs) are the team that makes that real: embedded with our customers, shipping production automation, and turning "AI pilot" into "AI in the general ledger."
This isn't a traditional sales engineering role, and it isn't a traditional product engineering role either. FDEs report into Engineering, work shoulder-to-shoulder with Sales and Account Management on the deals and renewals that matter most, and own the last mile between what Core Engineering ships and what a specific customer actually runs.
You'll sit at the intersection of engineering, applied AI, and enterprise finance, and you'll be judged on one thing: did the customer's business measurably change because you were in the room?

Responsibilities

What you'll do

Pre-sale: Build the proof that wins the deal

Get hands-on with prospects before there's a contract: build a working proof-of-value directly in (or against a realistic replica of) the prospect's own data and systems - real integrations and real output, not a scripted demo.
Partner with Account Executives from first technical touch: run discovery with the prospect's finance and IT teams to understand their chart of accounts, systems, and process gaps well enough to build against them.
Lead the technical evaluation: architecture and security/compliance reviews, integration feasibility, and technical RFP responses with the prospect's IT and controllership teams.
Build the technical narrative and ROI case alongside Sales, and present it directly to economic buyers - CFOs and Controllers - as part of the deal cycle. Your proof-of-value is very often what gets the deal signed.
Flag technical or data-readiness risk early, so Sales scopes and prices the deal accurately and nothing you built pre-sale becomes a surprise post-signature

Post-sale: Architect and ship in customer-specific production

Architect and deploy customer-specific configurations of AI Agents that automate complex accounting processes - strengthening internal controls, closing books faster, and removing manual work from real customer environments.
Perform deep technical troubleshooting: review and edit Python, write SQL for integrations, and diagnose configuration issues across customer systems.
Serve as the functional and technical escalation point for issues involving integrations, data flows, and automation logic - including reviewing and optimizing SQL-based validations and API-driven workflows.
Maintain SLAs for response and resolution; document issues comprehensively and escalate to Engineering with complete context.

Post-sale: Own the customer relationship and drive expansion

Lead high-impact transformation engagements with enterprise finance teams - diagnosing operational bottlenecks and identifying where AI Agents create the most leverage.
Act as the primary technical point of contact across implementations, engaging directly with CFOs, Controllers, and accounting leaders.
Guide and train customer teams through workflow redesign, change management, and the value realization required to scale AI Agent adoption across their organization - and carry that same proof-of-value discipline into expansion and renewal conversations.
Travel to customer sites as needed (up to 70%) for pre-sale technical evaluation, hands-on deployment, training, and adoption workshops.

Ongoing: Shape the product and the playbook

Be the Voice of the Customer: surface technical feedback, integration requirements, and product gaps to Product and Core Engineering - as input to their roadmap, not a substitute for it.
Partner with Product Management on learnings from onsite discovery sessions to design workflows centered on AI Agent deployment and business outcomes.
Build the playbook: create implementation guides, expansion frameworks, and reusable assets so every deployment makes the next one faster.
Educate customers and internal teams on the strategic value of AI-enabled workflow transformation and best practices for building durable AI Agents.

Where this role sits

FDEs report into Engineering, not Sales - but this is very much a field role, spanning both sides of the signature, and the two partnerships below are the job as much as the code is.

Your partnership with Sales & Account Management

You're the technical face of Enterprise Suite in the field, on both sides of the deal: Account Executives pull you in pre-sale to build the proof-of-value that wins the technical evaluation, and Customer Success pulls you in post-sale for QBRs, renewals, and expansion.
Deals and renewals in this business run on proof, not promises - you're the one who produces it, first as a working pilot in the sales cycle, then as a live production system afterward. That makes you directly responsible for de-risking the pipeline, even though you don't carry a number yourself.
You'll work daily with Account Executives and Customer Success on the accounts you're assigned to; you won't be measured on bookings, but expect to be in the room for the technical parts of both the sale and the renewal.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90969158
Position Id: 2026-5005
Posted 2 hours ago

Fitment

Dice Job Match Score™

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Job Details

Skills

API integration
full stack
Applied AI
Cloud Infrastructure
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Summary

About the Role

Enterprise Suite is how the world's fastest-growing mid-market and enterprise finance teams run their books, close their quarter, and put AI agents to work on real accounting operations.
Forward Deployed Engineers (FDEs) are the team that makes that real: embedded with our customers, shipping production automation, and turning "AI pilot" into "AI in the general ledger."
This isn't a traditional sales engineering role, and it isn't a traditional product engineering role either. FDEs report into Engineering, work shoulder-to-shoulder with Sales and Account Management on the deals and renewals that matter most, and own the last mile between what Core Engineering ships and what a specific customer actually runs.
You'll sit at the intersection of engineering, applied AI, and enterprise finance, and you'll be judged on one thing: did the customer's business measurably change because you were in the room?

Responsibilities

What you'll do

Pre-sale: Build the proof that wins the deal

Get hands-on with prospects before there's a contract: build a working proof-of-value directly in (or against a realistic replica of) the prospect's own data and systems - real integrations and real output, not a scripted demo.
Partner with Account Executives from first technical touch: run discovery with the prospect's finance and IT teams to understand their chart of accounts, systems, and process gaps well enough to build against them.
Lead the technical evaluation: architecture and security/compliance reviews, integration feasibility, and technical RFP responses with the prospect's IT and controllership teams.
Build the technical narrative and ROI case alongside Sales, and present it directly to economic buyers - CFOs and Controllers - as part of the deal cycle. Your proof-of-value is very often what gets the deal signed.
Flag technical or data-readiness risk early, so Sales scopes and prices the deal accurately and nothing you built pre-sale becomes a surprise post-signature

Post-sale: Architect and ship in customer-specific production

Architect and deploy customer-specific configurations of AI Agents that automate complex accounting processes - strengthening internal controls, closing books faster, and removing manual work from real customer environments.
Perform deep technical troubleshooting: review and edit Python, write SQL for integrations, and diagnose configuration issues across customer systems.
Serve as the functional and technical escalation point for issues involving integrations, data flows, and automation logic - including reviewing and optimizing SQL-based validations and API-driven workflows.
Maintain SLAs for response and resolution; document issues comprehensively and escalate to Engineering with complete context.

Post-sale: Own the customer relationship and drive expansion

Lead high-impact transformation engagements with enterprise finance teams - diagnosing operational bottlenecks and identifying where AI Agents create the most leverage.
Act as the primary technical point of contact across implementations, engaging directly with CFOs, Controllers, and accounting leaders.
Guide and train customer teams through workflow redesign, change management, and the value realization required to scale AI Agent adoption across their organization - and carry that same proof-of-value discipline into expansion and renewal conversations.
Travel to customer sites as needed (up to 70%) for pre-sale technical evaluation, hands-on deployment, training, and adoption workshops.

Ongoing: Shape the product and the playbook

Be the Voice of the Customer: surface technical feedback, integration requirements, and product gaps to Product and Core Engineering - as input to their roadmap, not a substitute for it.
Partner with Product Management on learnings from onsite discovery sessions to design workflows centered on AI Agent deployment and business outcomes.
Build the playbook: create implementation guides, expansion frameworks, and reusable assets so every deployment makes the next one faster.
Educate customers and internal teams on the strategic value of AI-enabled workflow transformation and best practices for building durable AI Agents.

Where this role sits

FDEs report into Engineering, not Sales - but this is very much a field role, spanning both sides of the signature, and the two partnerships below are the job as much as the code is.

Your partnership with Sales & Account Management

You're the technical face of Enterprise Suite in the field, on both sides of the deal: Account Executives pull you in pre-sale to build the proof-of-value that wins the technical evaluation, and Customer Success pulls you in post-sale for QBRs, renewals, and expansion.
Deals and renewals in this business run on proof, not promises - you're the one who produces it, first as a working pilot in the sales cycle, then as a live production system afterward. That makes you directly responsible for de-risking the pipeline, even though you don't carry a number yourself.
You'll work daily with Account Executives and Customer Success on the accounts you're assigned to; you won't be measured on bookings, but expect to be in the room for the technical parts of both the sale and the renewal.

Dice Id: 90969158
Position Id: 2026-5005
Posted 2 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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