Why This Role Stands Out
This hybrid role offers an exciting opportunity to pioneer cutting-edge AI solutions in data governance, leveraging LLMs and RAG for impactful automation and building scalable agentic systems. You'll thrive here if you possess strong technical skills and a passion for innovation, collaborating with a talented team to shape enterprise data strategy.
Quick Overview
Job Description
Key Responsibilities
Design, develop, and deploy Agentic AI solutions that automate data governance, data quality, metadata management, lineage analysis, policy enforcement, and stewardship workflows
Build scalable AI agents using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), orchestration frameworks, and enterprise governance tools
Partner with Data Governance Engineers, Data Engineers, Architects, and business stakeholders to identify governance use cases and define agent capabilities aligned with enterprise data strategy
Develop and maintain autonomous and human-in-the-loop agents supporting data cataloging, business glossary management, policy compliance validation, data ownership assignment, issue remediation, and governance workflow orchestration
Integrate AI agents with data catalogs, metadata repositories, data quality tools, MDM platforms, cloud data platforms, and governance technologies including Ataccama, Collibra, Informatica, Microsoft Purview, Databricks, Snowflake, AWS, and Azure
Create proof-of-value demonstrations and pilot implementations to validate governance automation opportunities and accelerate stakeholder adoption
Collaborate with internal delivery teams and client stakeholders to refine governance backlogs, prioritize agent development initiatives, and incrementally onboard governance controls
Implement monitoring, observability, guardrails, and governance controls for Agentic AI solutions to support security, compliance, transparency, and responsible AI practices
Support proposal development, solution architecture discussions, effort estimation, and client presentations related to Data and AI governance modernization
Contribute to reusable frameworks, accelerators, and best practices for enterprise-scale Agentic AI implementations focused on data governance and management
Required Qualifications
8+ years of experience
Bachelors Degree
Skills
Python
Generative AI
Retrieval-Augmented Generation (RAG)
AI Orchestration Frameworks
AI Platforms
Cloud Platforms
Databricks
Data Governance Platforms
Snowflake
API Design and Development
Workflow Orchestration
Event-Driven Architecture
Enterprise System Integration
AI/ML Development
Data Engineering
Monitoring and Observability
Data Governance
Metadata Management
Master Data Management
Data Quality Management
Enterprise Data Architecture
Regulatory Compliance Solutions
Agentic AI Solution Design
Requirements Gathering
Stakeholder Management
Agile Delivery
Solution Architecture
Proof-of-Value Demonstrations
Responsible AI Practices
Knowledge Transfer
Schedule
Start date: 2026-09-25
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