Remote Enterprise AI Trust & Governance Engineer

Lever, Inc.; Schweiz; Remote; CHF 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Fully remote

Offshore engagement

Enterprise AI governance project

Generative AI security focus

Collaboration with security and data 팀

Zusammenfassung

Lever, Inc. is seeking an Enterprise AI Governance & Trust Layer Engineer for a fully remote role backed by a Swiss partner. You will design and implement trust layers that securely bound data across systems and foundational LLMs.

You’ll build real-time PII detection, policy-as-code guardrails, immutable audit trails, and robust API security controls to meet GDPR, CCPA, HIPAA requirements. This role emphasizes collaboration with security and data teams to strengthen enterprise AI governance.

Qualifikationen

• 5–9 years of overall engineering experience, including at least 3 years designing, building, and maintaining AI safety, privacy, governance, or security pipelines.
• Strong proficiency in Python, regular expressions, automated data classification, API architecture, and cloud security frameworks.
• Demonstrated understanding of AI security risks, including prompt injection, jailbreaks, data leakage, data drift, token transmission constraints, and zero-data-retention API models.
• Experience engineering privacy layers, governance controls, or security trust layers between enterprise systems and LLM-based applications.
• Strong understanding of authentication, authorization, secure API design, data protection, and enterprise access-control principles.
• Ability to translate privacy and security requirements into practical technical controls and automated guardrails.
• Strong analytical and problem-solving skills, with the ability to investigate complex AI security and data-flow issues.
• Excellent collaboration and communication skills when working with security, data engineering, and other technical stakeholders.
• A CISSP, Certified DevSecOps Professional (CDP), or relevant cloud security specialty certification is mandatory.
• Experience with Salesforce Einstein Trust Layer or comparable enterprise AI safety platforms is an advantage.

Aufgaben

• Design and deploy enterprise AI trust layers and governance middleware that establish secure data boundaries between internal systems, enterprise applications, and foundational LLMs.
• Implement real-time PII detection and masking using regular expressions, Named Entity Recognition (NER), tokenization, and related data-classification technologies.
• Develop policy-as-code guardrails for data privacy, compliance, and sovereignty requirements, including frameworks aligned with regulations such as GDPR, CCPA, and HIPAA.
• 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.
• Implement toxicity, bias, and content-safety controls using moderation models and classification gates to prevent harmful or non-compliant outputs.
• Develop defenses against prompt injection, jailbreaks, malicious payloads, and attempts to override system instructions through secure input parsing and validation mechanisms.
• Configure secure API proxy architectures, OAuth 2.0 authentication and validation flows, RBAC, and centralized access controls across integrated AI systems.
• Collaborate with security, data engineering, and other technical teams to integrate governance controls into enterprise AI workflows and continuously strengthen the overall security posture.

Kenntnisse

Python

Regex

Data classification

API architecture

Cloud security

Ausbildung

CISSP or CDP certification

Tools

Salesforce Einstein

Jobbeschreibung

Lever, Inc. is seeking an Enterprise AI Governance & Trust Layer Engineer for a fully remote role backed by a Swiss partner. You will design and implement trust layers that securely bound data across systems and foundational LLMs.

You’ll build real-time PII detection, policy-as-code guardrails, immutable audit trails, and robust API security controls to meet GDPR, CCPA, HIPAA requirements. This role emphasizes collaboration with security and data teams to strengthen enterprise AI governance.