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 — 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
Responsibilities
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 — 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
Qualifications
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 — 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
Skills Required
- 3+ years experience in AI/ML development, agent configuration, or LLM-based application development
- Hands-on experience configuring EXLdata.ai agents or similar agentic data intelligence platforms
- Proficiency in Python for scripting, automation, and data processing
- 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, metadata management
- Experience with Vertex AI (model serving and agent inference)
- Experience with BigQuery for querying governance data
- Experience with Nginx / Orchestrator (API gateway and orchestration layer)
- Experience with CI/CD pipelines using GitHub / Git + GitHub Actions
- Experience working with REST APIs and event-driven integration
- Strong analytical skills to document and assess current-state data and governance processes
- Familiarity with GKE (Google Kubernetes Engine)
- Familiarity with Neo4j Knowledge Graph
- Familiarity with Milvus Vector Database
- Familiarity with Cloud SQL, Google Secret Manager (CSI), Google Filestore
- Experience integrating with Guidewire APIs / Events or insurance domain data (Claims, Underwriting, Policy)
- Experience with Okta or identity/access management in cloud environments
- GCP Professional certification (ML Engineer, Data Engineer, or Cloud Developer)
- Experience with offshore/onshore hybrid Agile delivery models
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
