This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Enterprise AI Governance & Trust Layer Engineer based in Mexico.

This is a remote engineering role focused on securing and governing enterprise use of generative AI.
You’ll design the trust and privacy layers that control how sensitive corporate data flows to and from large language models.
The role combines AI security, data privacy, cloud security, API architecture, and compliance engineering.
You’ll build real-time protections for PII, prompt injection, harmful content, unauthorized access, and policy violations.
You’ll also establish auditability and monitoring so AI interactions can be traced, reviewed, and governed effectively.
Working closely with security and data engineering teams, you’ll help create resilient guardrails for enterprise AI environments.
This is a high-impact opportunity for an experienced engineer who wants to shape secure and responsible AI infrastructure.

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Accountabilities

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Design and deploy enterprise AI trust layers and governance middleware that establish secure data boundaries between internal systems, enterprise applications, and foundational LLMs.

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Implement real-time PII detection and masking using regular expressions, Named Entity Recognition (NER), tokenization, and related data-classification technologies.

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Develop policy-as-code guardrails for data privacy, compliance, and sovereignty requirements, including frameworks aligned with regulations such as GDPR, CCPA, and HIPAA.

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Build automated and immutable AI transaction audit trails covering model inputs and outputs, token usage, access activity, and other information required for monitoring and forensic analysis.

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Implement toxicity, bias, and content-safety controls using moderation models and classification gates to prevent harmful or non-compliant outputs.

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Develop defenses against prompt injection, jailbreaks, malicious payloads,

📌 Enterprise AI Governance (México)
🏢 Jobgether
📍 México