Senior Applied AI Field Engineer (FDSE) - Remote

ServiceNow; Amsterdam; Remote; EUR 120,000 - 180,000; Full time

Job summary

ServiceNow is seeking a Senior Forward Deployed Software Engineer (FDSE) for Applied AI. You will own end-to-end AI-native solutions, from backend services to LLM pipelines and UI integrations.

You will work in the field with customers to design, deploy, and iterate solution-ready builds in agile sprints, delivering reference implementations for scalable GenAI in enterprise contexts. You will embed with customer teams, architect AI-powered workflows, and ship production-grade software while

Qualifications

• 10+ years in software engineering, with customer-facing or embedded roles.
• Proven ability to design and implement AI-native software in production.
• Proficiency in backend (Python/Node.js/Java), frontend (React), and APIs (REST/GraphQL).
• Experience with LLM tooling, vector databases, and AI-powered workflows.
• DevOps fluency with cloud deployment and CI/CD.

Responsibilities

• Deliver Production-ready solutions in agile end-to-end sprints.
• Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components.
• Operate in the field, embedding with customers to deploy in live environments.
• Codify patterns, libraries, prompts, scaffolds to accelerate future engagements.
• Influence platform by sharing field-tested insights and extensible code.

Skills

Python

Node.js

Java

React

LLM tooling

APIs

DevOps

System architecture

Frontend engineering

Education

Bachelor's or higher in CS

Tools

LangChain

Semantic Kernel

Prompt chaining

Vector search

Context management

AWS/GCP/Azure

CI/CD

Job description

ServiceNow is seeking a Senior Forward Deployed Software Engineer (FDSE) for Applied AI. You will own end-to-end AI-native solutions, from backend services to LLM pipelines and UI integrations.

You will work in the field with customers to design, deploy, and iterate solution-ready builds in agile sprints, delivering reference implementations for scalable GenAI in enterprise contexts. You will embed with customer teams, architect AI-powered workflows, and ship production-grade software while