What You’ll Do
- Develop, implement, and maintain secure AI systems, with a focus on integrating security from the ground up.
- Develop algorithms and build predictive models that incorporate robust security measures.
- Preprocess data, ensuring the quality, accuracy, and security of data fed into models, including protection against data poisoning.
- Deploy and maintain AI models in production with secure configurations and continuous monitoring.
- Transform machine learning models into APIs that can be integrated with other applications, ensuring secure API design and implementation.
- Collaborate with Data Engineers to build and manage secure data pipelines for AI/ML workflows, adhering to "Zero Trust Security" principles.
- Work with AI Architects to ensure AI solutions meet business requirements, quality attributes, and stringent security standards.
- Implement and maintain the Trust Engine ("Trust by Design") framework within our AI stack, specifically focusing on:
- Deception Detection: Develop and integrate built-in detection mechanisms for hallucinations,



adversarial prompts, and policy violations within AI models.
- Zero Trust Security: Ensure every agent, connector, and workflow operates under least-privilege principles, with full audit trails for all operations.
- Human-in-the-Loop: Design and implement mechanisms for escalation, approval, and override at every step of AI workflows, by default.
- Auditability & Forensics: Guarantee that every action, decision, and data flow is logged, explainable, and traceable for forensic analysis.
- Compliance Packs: Develop and integrate industry-specific modules for regulatory compliance (e.g., HIPAA, PCI, etc.) into the AI systems.
- Responsible AI: Establish and enforce Responsible AI (RAI) guardrails, ensure explainability of AI decisions, and implement continuous monitoring for ethical and fair AI operation.

Requirements
What you’ll Bring
- 10+ years of applicable experience with building secure AI/ML solutions

📌 AI Trust (India)
🏢 Suzega
📍 India