$144,900–$302,100
Forward Deployed Solution Engineer – Applied AI FDE
Published · Updated
$176,100–$308,200annualizedRemote, hiring in New York
This senior forward-deployed engineering role embeds with strategic enterprise customers to turn ambiguous problems into production-grade GenAI/ML systems, including RAG pipelines, agentic workflows, and integrations.
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At a glance
Posted base pay
$176K–$308KAbove the median
Median $188K
This job$176K–$308KTypical senior FDE payMiddle 50% of 1,831 postings$160K–$220KThe work
Builds what the customer runs
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations
Travel Up to 30%
- Coding
- Writes production code
- Builds for
- Both
- Level
- Senior
- Role
- Technical lead
What they ask for
Experience
Background
Tools
Less common in FDE jobs
- Who you build for: Both9%
- Company stage: Public28%
- Fully remote30%
- Company size: About 5,000+ people33%
Share of US FDE postings that state each fact.
What you’ll do
- Partner with customers to identify and frame high-impact AI use cases.
- Design, build, and ship end-to-end GenAI/ML systems to production.
- Prototype with users and harden pilots into reliable, monitored services.
- Own technical relationships and translate between business stakeholders and engineering.
What you’ll bring
- 8+ years of software engineering experience, including 2+ years in customer-facing or embedded roles.
- Experience building ML/GenAI systems using LLMs, embeddings, vector databases, and RAG architectures.
- Production system architecture and backend, frontend, and API engineering skills.
- Experience deploying on AWS, Azure, or GCP with CI/CD, containers, and infrastructure as code.
About ServiceNow
Enterprise AI workflow platform connecting people, systems, data, and agents so large organizations can automate IT, employee, customer, security, and industry operations.
Public · 5000+ people
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