Description
Key Responsibilities:
- Configure and fine-tune AI agents (Data Governance, Data Quality, Lineage, Stewardship) on the EXLdata.ai™ platform
- Apply prompt engineering techniques to optimize agent behavior, accuracy, and output quality
- Design and automate governance workflows and data stewardship processes using AI agent orchestration
- Perform current-state analysis and document metadata, data lineage, and governance processes
- Support configuration of governance workflows and reporting dashboards for stewards and executives
- Integrate AI agents with backend systems, Knowledge Graph (Neo4j), and Vector Database (Milvus)
- Collaborate with GCP Engineers, Solution Architects, and Data Analysts to deliver sprint objectives
- Participate in Agile ceremonies — daily standups, sprint demos, and retrospectives
- Troubleshoot agent performance, data pipeline issues, and workflow errors in the GKE environment

Qualifications:
- 3+ years of experience in AI/ML development, agent configuration, or LLM-based application development




- Robust expertise in prompt engineering and AI workflow automation
- Hands-on experience with AI agent frameworks and orchestration tools
- Knowledge of data governance concepts: data quality, stewardship, lineage, MDM/RDM, and metadata management
- Familiarity with governance agents: Data Quality (DQ), Stewardship, MDM/RDM agents
- Experience working with REST APIs and event-driven integration
- Proficiency in Python for scripting, automation, and data processing
- Experience with CI/CD pipelines using GitHub / GitHub Actions
- Strong analytical skills to document and assess current-state data and governance processes

Preferred Skills
- Experience in the insurance domain (Claims, Underwriting, or Policy data)
- Familiarity with EXLdata.ai™ platform or similar agentic data intelligence platforms
- GCP Professional certification (ML Engineer, Data Engineer, or Cloud Developer)
- Experience with offshore/onshore hybrid Agile delivery

📌 AI / ML Developer / Engineer (Bengaluru)
🏢 EXL
📍 Bengaluru