Principal Engineer – AI Security Developer

About the role

From strategic marketing and financial management to human resources and operational oversight, you’ll have the opportunity to optimize processes and implement game-changing policies.

What you'll do

• Responsible AI: Partner with Risk, Compliance, Legal, Data Governance, and Architecture to ensure AI capabilities meet regulatory, model risk management, privacy
• Developing Engineers: Mentor senior and staff-level engineers, strengthen AI engineering capability across the security organization
• A typical week might include the following: Spending at least four days in the office engaging directly with engineers, security teams, architects, and other stakeholders
• Working with security leadership and engineering teams to identify and prioritize AI use cases based on measurable security value, feasibility, and strategic importance
• Leading architecture and design reviews for AI capabilities that span teams, security domains, or enterprise technologies

What you need

• 12–22 years in cybersecurity
• Vulnerability assessment
• SIEM
• IAM
• Cloud security
• OWASP
• Python
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• LLMs
• Prototyping
• Azure
• Regression testing
• CI/CD
• Machine learning