Lead development of ServiceNow solutions enhanced with Generative AI, AI agents, Graph RAG, and Agentic RAG. Responsibilities include building ServiceNow applications, workflows, integrations, RAG pipelines, knowledge graphs, and intelligent agents using LangGraph, LangChain, and Neo4j. The role requires Python and JavaScript development, enterprise data integration, security governance, testing, production troubleshooting, and collaboration with technical and business stakeholders.
Lead ServiceNow Developer with strong AI/GenAI expertise1
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
Similar Jobs
eCommerce • Fashion • Retail • Sales • Wearables • Design
The Sales Support Associate provides customer service, operates the POS system, manages inventory, and ensures a well-maintained sales floor in a retail environment.
Artificial Intelligence • Semiconductor
Analyzes telemetry from data center and engineering infrastructure using data science and machine learning. Cleans and explores datasets, builds reproducible analyses, evaluates predictive models, creates visualizations, documents assumptions, and communicates findings to engineers. The intern applies supervised learning, regression, classification, and statistical methods to identify patterns and anomalies that improve infrastructure reliability and performance.
Top Skills:
ClassificationData AnalysisMachine LearningPythonRegressionStatisticsSupervised Learning
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Manage and mentor Product Managers while guiding product strategy, prioritization, roadmap execution, and lifecycle management for Rapid7’s cybersecurity platform. Partner with Product, Engineering, UX, executives, customers, and cloud ecosystem partners to define requirements, launch features, analyze usage and feedback, and drive market impact. The role also promotes AI-enabled product management practices, customer-centric decision-making, cross-functional alignment, and development of high-performing global teams.
Top Skills:
Artificial IntelligenceCloud SecurityVulnerability Management
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
