Sr. Agentic AI Developer/Data Scientist with RAG & ServiceNow Integration (Remote) :: W2 Role Only
Posted Today by 1763016158
Negotiable
Outside
Remote
USA
Summary: The role of Senior Agentic AI Developer/Data Scientist focuses on developing an intelligent intake and routing system for security-related requests, utilizing expertise in agentic AI, Retrieval-Augmented Generation (RAG), and ServiceNow API integration. The position requires collaboration with a Project Lead, Lead Developer, and Architect to automate workflows and enhance system efficiency. This is a fully remote position with a duration of 6-12 months. The candidate should possess strong technical skills and experience in relevant technologies.
Key Responsibilities:
- Collaborate with the Lead Developer and Architect to implement agentic AI workflows for processing security intake requests.
- Build and optimize RAG pipelines to enhance contextual understanding and ensure accurate classification and deduplication.
- Develop and maintain API integrations between the AI agent and ServiceNow, enabling automated ticket creation and updates.
- Implement logic to monitor SLA compliance by analyzing historical records and owner responses.
- Contribute to system design discussions and provide input on scalable, secure architecture.
- Write clean, maintainable code and contribute to technical documentation.
Key Skills:
- Hands-on experience with agentic AI frameworks (e.g., LangChain, Semantic Kernel, AutoGPT).
- Strong understanding of RAG architecture, including vector databases, embedding models, and retrieval logic.
- Hands-on experience with Databricks in the following areas: Delta tables, workspaces, model training using Databricks, ML lifecycle management, deployment in Databricks GPU instances.
- Proficiency in Python and experience with NLP, email/document parsing, and LLM integration.
- Experience with ServiceNow APIs, data models, and workflow automation.
- Familiarity with security operations, request management, and SLA tracking.
- Ability to work effectively in a collaborative development environment.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Hi,
Hope you are doing well,
Please find the job description given below and let me know your interest.
Position: Senior Agentic AI Developer/Data Scientist with RAG & ServiceNow Integration (100% Remote)
Location: 100% Remote
Duration : 6-12 months
Job Description:
We are looking for a Senior Developer with expertise in agentic AI, Retrieval-Augmented Generation (RAG), Databricks, and ServiceNow API integration to support the development of an intelligent intake and routing system for security-related requests. This role will work closely with a Project Lead, Lead Developer, and an Architect to build and refine AI-driven workflows that automate request parsing, deduplication, SLA tracking, and ticket routing.
Key Responsibilities:
Collaborate with the Lead Developer and Architect to implement agentic AI workflows for processing security intake requests.
Build and optimize RAG pipelines to enhance contextual understanding and ensure accurate classification and deduplication.
Develop and maintain API integrations between the AI agent and ServiceNow, enabling automated ticket creation and updates.
Implement logic to monitor SLA compliance by analyzing historical records and owner responses.
Contribute to system design discussions and provide input on scalable, secure architecture.
Write clean, maintainable code and contribute to technical documentation.
Required Qualifications:
- Hands-on experience with agentic AI frameworks (e.g., LangChain, Semantic Kernel, AutoGPT).
- Strong understanding of RAG architecture, including vector databases, embedding models, and retrieval logic.
- Hands-on experience with Databricks in the following areas
- Delta tables
- workspaces
- Model training using Databricks
- ML lifecycle management
- Deployment in Databricks GPU instances
- Proficiency in Python and experience with NLP, email/document parsing, and LLM integration.
- Experience with ServiceNow APIs, data models, and workflow automation.
- Familiarity with security operations, request management, and SLA tracking.
- Ability to work effectively in a collaborative development environment.
Preferred Qualifications:
- Experience with LLM orchestration, autonomous agents, and prompt engineering.
- Knowledge of ServiceNow scripting and administrative workflows.
- Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and secure API development.
- ServiceNow certifications (CSA, CAD) are a plus.
If you are interested, please share your updated resume and suggest the best number & time to connect with you.