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