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Remote Forward Deployed Software Engineer – Applied AI FDE
Remote
Forward Deployed Software Engineer – Applied AI FDE
at
ServiceNow
Posted 5 days ago
✅
1 applied
Description:
ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team partners with strategic customers to shape the future of enterprise AI.
The team identifies high-value opportunities, accelerates business outcomes, and builds reusable AI-native solutions that advance the Now AI Platform.
As a Senior Forward Deployed Software Engineer (FDSE), you will own everything from backend services to LLM pipelines and front-end integrations.
You will work closely with customers to design, implement, and deliver solution-ready builds in agile sprints.
Your software will serve as the reference implementation for scalable GenAI in the enterprise.
You will build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI.
You will operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments.
You will codify reusable assets such as libraries, prompts, and scaffolds to accelerate future engagements.
You will shape developer experience by sharing feedback with platform and product teams.
Requirements:
You must have experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
You should have 8+ years of software engineering experience, including 2+ years in customer-facing or embedded roles.
Proven ability to design and implement AI-native software in production environments is required.
You need to have strong skills in backend (Python, Node.js, Java), frontend (React, Angular), and APIs (REST/GraphQL).
Familiarity with LLM tooling such as LangChain, Semantic Kernel, prompt chaining, vector search, and context management is necessary.
You should be skilled in debugging distributed systems, tuning for latency, and implementing monitoring.
A platform mindset is essential, with the ability to contribute to shared SDKs and tools.
You must prioritize user value, MVP iteration, and long-term scale.
Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code is required.
You should be able to travel up to 30% to embed onsite and deliver where it matters.
Benefits:
The position offers a base pay of $173,100 - $303,000, plus equity (when applicable) and variable/incentive compensation.
Health plans are included, along with flexible spending accounts.
A 401(k) Plan with company match is provided.
Employees can participate in an Employee Stock Purchase Plan (ESPP) and matching donations.
A flexible time away plan and family leave programs are available.
Compensation is based on geographic location and is subject to change based on work location.