🛠 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, security, and governance teams to deploy scalable safeguards for LLM-based platforms in a fully remote, high-impact environment.

🎯 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 enforcement
• Develop reusable AI safety standards for agents, workflows, and LLM platforms
• Identify and mitigate AI risks like prompt injection and data leakage

📋 Requirements

• 5-8 years in security engineering, AI governance, or related enterprise roles
• Strong hands-on expertise in Python scripting and automation
• Experience with policy-as-code frameworks or automated compliance tooling
• Solid understanding of AI security risks including prompt injection and hallucinations

✨ Nice to Have

• Familiarity with enterprise platforms like Saviynt, ServiceNow, or IAM tools
• Bachelor's degree in Computer Science or related field

🎁 Benefits & Perks

• 🏡 Fully remote work environment
• 🚀 Cutting-edge AI security initiatives
• 🏢 Enterprise-scale AI platform exposure
• 📈 Career growth in evolving AI domain
• 💰 Competitive compensation 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· 45 min