Role: ServiceNow Technical Consultant
Experience: 5+yrs
Shifts: 8am -5 pm
Work Shift: Hybrid
We are seeking highly skilled, hands-on developer who thrive on solving complex problems, exploring cutting-edge technologies, and making things work in real-world environments. You’ll work on next-generation automation and AI-driven solutions involving scripting, intelligent business processes, integrations, and emerging AI paradigms such as Generative and Agentic AI.
Key Responsibilities
- Development and Architecture
- Develop, customize, and maintain automations using Groovy (primary), and optionally PowerShell, MS Graph API, or Python.
- Build and enhance reusable components, scripts, and connectors.
- Design and architect solutions across various platforms
- Working knowledge of Application development
- AI & Natural Language Understanding
- Work with Natural Language Understanding (NLU) models — understand how they work, how to prepare and label data, and how to train, evaluate, and optimize them.
- Implement Generative AI use cases — including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning pre-trained models.
- Agentic AI & Contextual Systems
- Design and develop Agentic AI solutions leveraging prompt chaining, context engineering, and multi-agent frameworks.
- Integrate with APIs (REST, MCP, and custom) to enable dynamic, context-aware AI workflows.
- Business Process Design
- Translate functional requirements into robust, scalable business processes.
- Implement these processes using no-code / low-code platforms (e.g., ServiceNow, Power Automate) combined with custom scripting and API integrations.
- System Integrations
- Integrate solutions with ServiceNow, Microsoft Teams and various on-premise and cloud services.
- Testing & Quality
- Design and execute comprehensive test strategies for automation scripts, AI models, and integrations.
- Ensure reliability, scalability, and performance across environments.
Skills & Experience
Required:
- Strong scripting experience (Groovy ; PowerShell, MS Graph, Python)
- Working knowledge of NLU / ML lifecycle (data prep, training, evaluation)
- Proven experience in designing business workflows and process automations
- Hands-on integration experience with enterprise systems (ServiceNow, Teams, APIs)
- Deep curiosity and problem-solving mindset — must enjoy experimentation
- Excellent command of English (written and spoken)
Preferred / Nice to Have:
- Experience with Apache Camel or other integration frameworks
- Familiarity with Generative AI, RAG, Prompt Engineering
- Understanding of Agentic AI concepts (context handling, multi-agent orchestration, REST/MCP integration)
- Strong testing and debugging skills