🛠 Tech Stack

💼 About This Role

You'll design runtime AI protection mechanisms and build governance-by-design frameworks for enterprise AI systems. You'll collaborate with engineering and security teams to deploy resilient safeguards for LLM-based applications. This role offers a remote, high-impact environment shaping enterprise AI security strategies.

🎯 What You'll Do

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

📋 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 or governance systems.
• Solid understanding of AI security risks including prompt injection and runtime controls.

✨ Nice to Have

• Experience with enterprise platforms like Saviynt or ServiceNow.
• Familiarity with IAM tools or workflow approval systems.
• Bachelor's degree in Computer Science or related field.

🎁 Benefits & Perks

• 🏠 Fully remote work environment with flexibility.
• ⚙️ Cutting-edge AI security and governance projects.
• 🤝 Collaborative and innovation-driven team.
• 📈 Career growth in rapidly evolving AI domain.
• 💰 Competitive compensation package.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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