Lead ServiceNow Developer strong AI​/GenAI expertise

Lead Service Now Developer with strong AI/GenAI expertise1

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

The ideal candidate will have hands-on experience with Service Now development, Now Assist, AI agents, Graph RAG, Agentic RAG, Lang Graph, Lang Chain, and Neo4j , along with strong programming skills in Python and Java Script .

This role will be responsible for building intelligent, context-aware solutions and AI agents that leverage enterprise knowledge, Service Now data, and graph-based relationships to automate workflows and improve user experiences.

• Design, develop, configure, and maintain solutions on the Service Now platform
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• Develop Service Now 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 Service Now platform.
• Build and integrate Graph RAG and Agentic RAG solutions for enterprise knowledge retrieval and reasoning.
• Develop AI-powered solutions using Lang Graph and Lang Chain
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• Design and implement knowledge graphs and graph-based retrieval solutions using Neo4j
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• Integrate Service Now 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 Service Now, AI/ML services, vector/graph databases, and external enterprise systems.
• Write clean, maintainable, and scalable Python and Java Script 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 Service Now solutions.
• Troubleshoot production issues and continuously improve the performance and reliability of AI and Service Now solutions.

• Strong hands-on experience as a Service Now Developer
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• Experience with Service Now development and configuration across areas such as:
  • Business Rules
  • Script Includes
  • Client Scripts
  • UI Policies / UI Actions
  • Workflows / Flow Designer
  • REST/SOAP integrations
  • Service Now APIs
  • Custom applications
• Strong understanding of the Service Now platform architecture and development best practices.
• Experience configuring and extending Now Assist
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• Hands-on experience developing or configuring AI agents on the Service Now platform
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• Strong understanding of Generative AI, LLMs, RAG, and AI agents
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• 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 Lang Graph for building agentic workflows.
• Strong experience with Lang Chain 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 Java Script development skills, particularly in the context of Service Now.
• Strong Python programming skills for AI/GenAI integrations and backend development.
• Ability to develop production-quality, modular, testable, and maintainable code.

• Experience with Service Now AI Search, Now Assist, Virtual Agent, Knowledge Management, or Intelligent Automation
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• 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.
• Service Now certifications such as Certified System Administrator (CSA) or Certified Application Developer (CAD) are preferred.

Minium

Experience:

12 years of developement experience