Enterprise AI Governance & Trust Layer Engineer

📋 Description

• Design and deploy enterprise AI trust layers and governance middleware that establish secure data
• Implement real-time PII detection and masking using regular expressions, Named Entity Recognition
• Develop policy-as-code guardrails for data privacy, compliance, and sovereignty requirements
• Build automated and immutable AI transaction audit trails covering model inputs and outputs, token
• Implement toxicity, bias, and content-safety controls using moderation models and classification
• Develop defenses against prompt injection, jailbreaks, malicious payloads, and attempts to override

🎯 Requirements

• 5–9 years of overall engineering experience, including at least 3 years specifically designing
• Strong proficiency in Python, regular expressions, automated data classification, API architecture
• Demonstrated understanding of AI security risks, including prompt injection, jailbreaks, data
• Experience engineering privacy layers, governance controls, or security trust layers between
• Strong understanding of authentication, authorization, secure API design, data protection, and
• Ability to translate privacy and security requirements into practical technical controls and

🎁 Benefits

• Fully remote working arrangement.
• Contract engagement with an offshore work model.
• Opportunity to work on enterprise AI governance, privacy, security, and trust infrastructure.
• Exposure to generative AI security challenges involving LLMs, data protection, compliance, and
• Opportunity to collaborate with security and data engineering teams on enterprise-scale AI controls.
• Role with significant technical ownership across AI governance middleware, privacy boundaries