Remote Enterprise AI Trust & Governance Engineer

Lever, Inc.; Turkey; Remote; TRY 500,000 - 700,000; Full time

Benefits offered by this job

Fully remote

Offshore engagement

Enterprise AI governance work

Generative AI security exposure

Collaborative security teams

Technical ownership

Job summary

Lever, Inc. on behalf of a partner company seeks an Enterprise AI Governance & Trust Layer Engineer based in Turkey for a fully remote role focused on securing and governing enterprise use of generative AI.

You’ll design trust and privacy layers, implement real-time PII detection, policy-as-code guardrails, audit trails, and threat defenses, collaborating with security and data teams to strengthen enterprise AI controls.

Qualifications

• 5–9 years of 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.
• Understanding of AI security risks: prompt injection, jailbreaks, data leakage, data drift, zero-data-retention API models.
• Experience engineering privacy layers, governance controls, or security trust layers between enterprise systems and LLM-based apps.
• Strong understanding of authentication, authorization, secure API design, data protection, and enterprise access-control principles.
• Ability to translate privacy and security requirements into practical automated guardrails.
• Strong analytical and problem-solving skills for AI security and data-flow issues.
• Excellent collaboration and communication with security, data engineering, and other stakeholders.
• CISSP/CDP or relevant cloud security certification mandatory.
• Salesforce Einstein Trust Layer or comparable platforms is a plus.
• Familiarity with vector embeddings and custom text-classification models is desirable.

Responsibilities

• Design and deploy enterprise AI trust layers and governance middleware to establish secure data boundaries between internal systems, apps, and LLMs.
• Implement real-time PII detection and masking using regex, NER, tokenization, and data-classification tech.
• Develop policy-as-code guardrails for privacy, compliance, and sovereignty per GDPR/CCPA/HIPAA.
• Build immutable AI transaction audit trails covering model inputs/outputs, token usage, access activity, etc.
• Implement toxicity, bias, and content-safety controls using moderation models and gates.
• Defend against prompt injection, jailbreaks, and malicious payloads via secure input parsing and validation.
• Configure secure API proxy architectures, OAuth2, RBAC, and centralized access controls.
• Collaborate with security and data teams to integrate governance into AI workflows and strengthen security posture.

Skills

Python

Regular expressions

API architecture

Cloud security

AI safety governance

Data privacy

RBAC / access control

Threat modeling

Collaboration

Problem solving

Education

CISSP / CDP or cloud security certification

Tools

Salesforce Einstein Trust Layer

Job description

Lever, Inc. on behalf of a partner company seeks an Enterprise AI Governance & Trust Layer Engineer based in Turkey for a fully remote role focused on securing and governing enterprise use of generative AI.

You’ll design trust and privacy layers, implement real-time PII detection, policy-as-code guardrails, audit trails, and threat defenses, collaborating with security and data teams to strengthen enterprise AI controls.