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
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 — Environment 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
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
