Lead ServiceNow Developer with strong AI/GenAI expertise

About the role

We are looking for an experienced ServiceNow Developer with strong AI/GenAI expertise to design, develop, and implement innovative ServiceNow solutions that combine the platform with modern AI capabilities. The ideal candidate will build intelligent, context-aware solutions and AI agents leveraging enterprise knowledge, ServiceNow data, and graph-based relationships to automate workflows and improve user experiences.

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.

Requirements

• 12 years of development experience.

Skills & Qualifications

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).