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
- Strong 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 models Skills & Experience The following tools are part of the EXLdata.ai™ GCP architecture. Familiarity is an advantage — not all are mandatory. Training and ramp-up support will be provided. Must-Have Skills & Experience EXLdata.ai™ Agents Data Governance, Data Quality, Data Lineage, Stewardship Workbench agents Vertex AI (GCP) Google AI/ML platform for model serving and agent inference BigQuery Managed analytics data warehouse for querying governance data GitHub / Git + Actions Source control and CI/CD for agent configuration and deployment Python Primary language for agent scripting and workflow automation Nginx / Orchestrator API gateway and agent orchestration layer within GKE Preferred — Nice To Have GKE (Google Kubernetes Engine) Container orchestration platform hosting EXLdata.ai™ agents Neo4j Graph Database Knowledge graph for entity relationships and data lineage Milvus Vector Database Vector DB for semantic search and embedding storage (open-source) Cloud SQL Managed relational DB for metadata storage Google Secret Manager (CSI) Secrets management via CSI Secret Store integration in GKE Google Filestore Persistent shared storage (RWX, CSI-backed PVC) Guidewire APIs / Events Insurance platform integration for Claims & Underwriting data Okta Identity access management and access scoping via VPC rules Awareness Level — Setting Context Cloud Logging / gCloud CLI Operational logging and CLI access for environment support IAM (Identity & Access Mgmt) GCP role-based access control and service account management Cloud KMS / Secrets Manager Key management and secret storage for secure deployments Artifact Registry Container image registry for agent Docker images Cloud DNS DNS routing for subdomain-based service access Backup & DR Service Disaster recovery and backup for platform resilience

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