AI Data Engineer III

About the role

The role bridges GRC domain requirements and engineering execution: building the data foundations (ingestion, modeling, quality) that agentic workflows depend on, and prototyping control automations, evidence collectors, and governance tooling that reduce manual effort and enable the team to scale without proportional headcount growth.

What you'll do

• GRC Tool & Automation Engineering Build and integrate agentic AI solutions and automations within the enterprise GRC platform to standardize workflows
• Develop control automations, evidence collectors, and governance tooling, reducing dependence on the broader engineering backlog
• Risk Register Automation Engineer AI-assisted workflows to populate, maintain, and reconcile the enterprise Risk Register across technology domains
• Automate linkage between risk entries, controls, and remediation tracking
• Policy Governance Automation Build AI-assisted tooling for policy drafting, framework crosswalks, annual review cadence, and exception workflows

What you need

• 4–7 yrs of experience
• Machine learning
• Python
• LLMs
• Prompt engineering
• AWS
• OWASP
• B.Sc or B.Tech or B.E. or BCA

Good to have

• ServiceNow
• GCP
• Git
• Azure
• ETL
• Prototyping