AI Data & Security Governance Engineer (MAD-BS-OR)

What you'll do

• Implement automated access, data protection, and infrastructure security controls, including secure vector database architecture.
• Integrate AI/ML security checks, guardrails, monitoring, and evaluations into CI/CD pipelines.
• Automate metadata lineage, audit reporting, and compliance visibility.

What they ask for

• At least 5 years of software, data, or security engineering experience; programming experience; AI/ML Ops experience; and DevOps/CI/CD and infrastructure-as-code experience.
• At least 5 years of experience with governance platforms and frameworks or audits such as NIST AI RMF, ISO 42001, and OWASP LLM Top 10.
• At least 1 year implementing AI guardrails and moderation pipelines, and at least 1 year in AI red teaming, adversarial robustness testing, and hallucination/bias monitoring.
• Deep understanding of data security principles, familiarity with cloud platforms and distributed storage, and knowledge of AI vulnerabilities and mitigations.

Nice to have

• At least 5 years working with distributed teams across multiple geographic regions.
• Familiarity with GDPR and CCPA compliance frameworks.

Pay

$134,476 - $184,905 annually (base pay)

Tools

Python, SQL, Bash, Go, HashiCorp Vault, AWS Secrets Manager, Milvus, Pinecone

AI focus

Implements security governance for generative AI/LLMs, including guardrails against prompt injection and data leakage, model evaluation, fairness/bias testing, monitoring, red teaming, and compliance.