🛠 Tech Stack

💼 About This Role

You'll design and implement advanced runtime protection for AI-powered applications, ensuring governance, compliance, and operational safety at scale. You'll collaborate with engineering, security, and governance teams to build resilient safeguards for LLM-based systems and intelligent workflows. This role offers a highly technical and strategic environment where innovation and risk management go hand in hand.

🎯 What You'll Do

• Design runtime AI protection mechanisms including prompt filtering and output validation.
• Build governance-by-design frameworks through automation and policy-driven enforcement.
• Develop reusable AI safety standards for AI agents, workflows, and LLM platforms.
• Identify and mitigate AI-related risks such as prompt injection and data leakage.

📋 Requirements

• 5–8 years of experience in security engineering or AI governance.
• Strong hands-on expertise in Python scripting and automation.
• Experience with policy-as-code frameworks, rule engines, or governance systems.
• Understanding of AI security risks including prompt injection and misuse prevention.

✨ Nice to Have

• Experience with enterprise platforms such as Saviynt, ServiceNow, or IAM tools.
• Familiarity with responsible AI frameworks and enterprise compliance best practices.
• Bachelor’s degree in Computer Science or a related field.

🎁 Benefits & Perks

• 🏡 Fully remote work environment with flexibility and autonomy.
• 🔬 Opportunity to work on cutting-edge AI security initiatives.
• 📈 Career growth opportunities in a rapidly evolving AI domain.
• ⚡ High-impact role influencing enterprise AI security strategies.
• 💰 Competitive compensation package based on experience.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min