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.
Key Responsibilities- 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.
- 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.
- 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.
- 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.
- 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.
- 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
Skills Required
- 12 years of development experience
- Strong hands-on experience as a ServiceNow Developer
- Experience with ServiceNow Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions, Workflows, Flow Designer, REST/SOAP integrations, APIs, and custom applications
- Strong understanding of 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
- Strong understanding of Generative AI, LLMs, RAG, AI agents, embeddings, vector search, knowledge graphs, context management, and prompt engineering
- Hands-on experience building Graph RAG and Agentic RAG solutions
- Experience designing AI agents that reason, retrieve information, use tools, and execute actions
- Experience integrating LLMs with enterprise applications and data sources
- Hands-on experience with LangGraph
- Strong experience with LangChain
- Experience with Neo4j and knowledge graph concepts
- Strong JavaScript development skills in the ServiceNow context
- Strong Python programming skills for AI/GenAI integrations and backend development
- Ability to develop production-quality, modular, testable, and maintainable code
- Experience with ServiceNow AI Search, Now Assist, Virtual Agent, Knowledge Management, or Intelligent Automation
- Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms
- 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 enterprise AI security, governance, and responsible AI practices
- ServiceNow Certified System Administrator or Certified Application Developer certification
Jade Global Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jade Global and has not been reviewed or approved by Jade Global.
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Healthcare Strength — Core medical, dental, and vision coverage appears established with mainstream U.S. carriers, forming a solid baseline of healthcare support. EAPs and tax‑advantaged accounts (FSAs/HSAs) are also cited, indicating options beyond basic insurance.
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Retirement Support — A 401(k) program with employer match is consistently referenced as part of the package. Availability of traditional and Roth options is noted, supporting long‑term savings flexibility.
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Parental & Family Support — Parental leave is referenced, and family‑oriented offerings such as backup childcare are highlighted in company materials. These elements can enhance the overall family support experience even when cash pay is not top‑tier.
Jade Global Insights
What We Do
A Trusted Partner for Every Digital Enterprise Bringing Value. Jade Global is a global IT consulting company with two decades of industry experience that helps the world’s leading businesses and organizations build their digital core, optimize their operations, and accelerate revenue growth. We are headquartered in San Jose, California; Jade Global operates with offices in 13 locations across North America, the UK, and Asia. Renowned as a trusted "partner of choice" for businesses in Healthcare & Life Sciences, Hi-tech, Retail, Manufacturing, and Financial Industries, Jade Global has innovated 30+ industry-specific solutions. Whether your focus is harnessing or expanding Gen-AI, AI, and digital capabilities, transforming operating models, or accelerating insightful decision-making, we’re here to help you gain and maintain a competitive edge with efficient, sustainable models. At Jade Global, it’s all about outcomes—your outcomes—and delivering the results you desire, tailored to your unique requirements
Why Work With Us
We are Great Place to Work Certified company and Jade focus on people first approach.
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