Lead ServiceNow Developer

Jade Global Inc.
United States
11 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles JavaScript (Programming Language) Computer-Aided Design Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Computer Programming System Configuration Custom Software Graph Database Python (Programming Language)
+22 more
Knowledge Management Neo4j ServiceNow Application Engine Azure Machine Learning Search Technologies Simple Object Access Protocol (SOAP) Software Engineering Systems Integration Enterprise Data Management Enterprise Software Applications Client Side Scripting Large Language Models Prompt Engineering Generative AI Backend AI Platforms Material UI Virtual Agents Api Design Restful APIs Servicenow Microservices

Job description

We are looking for an experienced ServiceNow Developer with strong AI/GenAI expertise to design, develop, and implement innovative ServiceNow solutions that combine the ServiceNow platform with modern AI capabilities.

The ideal candidate will have hands-on experience with ServiceNow development, Now Assist, AI agents, Graph RAG, Agentic RAG, LangGraph, LangChain, and Neo4j, along with strong programming skills in Python and JavaScript.

This role will be responsible for building intelligent, context-aware solutions and AI agents that leverage enterprise knowledge, ServiceNow data, and graph-based relationships to automate workflows and improve user experiences., * Design, develop, configure, and maintain solutions on the ServiceNow platform.

  • Develop ServiceNow applications, workflows, integrations, business rules, Script Includes, REST APIs, UI components, and custom applications.
  • Configure and extend Now Assist capabilities to support enterprise AI use cases.
  • Design and develop AI agents/agentic workflows within the ServiceNow platform.
  • Build and integrate Graph RAG and Agentic RAG solutions for enterprise knowledge retrieval and reasoning.
  • Develop AI-powered solutions using LangGraph and LangChain.
  • Design and implement knowledge graphs and graph-based retrieval solutions using Neo4j.
  • Integrate ServiceNow data and enterprise knowledge sources with AI/LLM-based applications.
  • Develop intelligent agents capable of retrieving information, reasoning over enterprise data, and executing appropriate actions.
  • Build RAG pipelines, including document ingestion, chunking, embeddings, retrieval, reranking, context construction, and response generation.
  • Develop integrations between ServiceNow, AI/ML services, vector/graph databases, and external enterprise systems.
  • Write clean, maintainable, and scalable Python and JavaScript code.
  • Collaborate with architects, product owners, business stakeholders, and AI/ML engineers to translate business requirements into scalable technical solutions.
  • Implement appropriate security, access controls, governance, monitoring, and testing for AI-enabled ServiceNow solutions.
  • Troubleshoot production issues and continuously improve the performance and reliability of AI and ServiceNow solutions.

Requirements

ServiceNow

  • Strong hands-on experience as a ServiceNow Developer.
  • Experience with ServiceNow development and configuration across areas such as:
  • Business Rules
  • Script Includes
  • Client Scripts
  • UI Policies / UI Actions
  • Workflows / Flow Designer
  • REST/SOAP integrations
  • ServiceNow APIs
  • Custom applications
  • Strong understanding of the ServiceNow platform architecture and development best practices.
  • Experience configuring and extending Now Assist.
  • Hands-on experience developing or configuring AI agents on the ServiceNow platform.

AI / GenAI / RAG

  • Strong understanding of Generative AI, LLMs, RAG, and AI agents.
  • Hands-on experience building Graph RAG solutions.
  • Hands-on experience with Agentic RAG / Agentic AI architectures.
  • Experience designing AI agents that can reason, retrieve information, use tools, and execute actions.
  • Strong understanding of retrieval pipelines, embeddings, vector search, knowledge graphs, context management, and prompt engineering.
  • Experience integrating LLMs with enterprise applications and data sources.

AI Frameworks & Technologies

  • Hands-on experience with LangGraph for building agentic workflows.
  • Strong experience with LangChain and its components for LLM/RAG application development.
  • Experience with Neo4j and knowledge graph concepts.
  • Experience designing graph-based retrieval and reasoning workflows.
  • Experience working with APIs and integrating AI services with enterprise platforms.

Programming

  • Strong JavaScript development skills, particularly in the context of ServiceNow.
  • Strong Python programming skills for AI/GenAI integrations and backend development.
  • Ability to develop production-quality, modular, testable, and maintainable code.

Preferred Qualifications

  • Experience with ServiceNow AI Search, Now Assist, Virtual Agent, Knowledge Management, or Intelligent Automation.
  • Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar technologies.
  • Experience with vector databases and semantic search technologies.
  • Understanding of knowledge graph modeling, graph algorithms, and graph-based retrieval.
  • Experience with REST APIs, microservices, cloud platforms, and enterprise integrations.
  • Experience implementing AI solutions with enterprise security, governance, and responsible AI considerations.
  • ServiceNow certifications such as Certified System Administrator (CSA) or Certified Application Developer (CAD) are preferred.

Minium Experience:

12 years of developement experience

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:37 min

Navigating AI service complexity and developer roles

Radu Vunvulea Radu Vunvulea · World Congress 2025

56 sec

Integrating automated approval workflows into the portal

Markus Eisele Markus Eisele · World Congress 2025

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

2:27 min

Establishing a simulated technical environment for the workflow demo

Tobias Dunn-Krahn · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

Videos

See all

Related articles

See all