AI Data & Security Governance Engineer (MAD-BS-OR)
Core
Build technical guardrails and 'governance as code' to enable safe innovation for distributed engineering and data science teams by implementing automated security controls, managing data access infrastructure, and integrating model evaluation into CI/CD pipelines.
Role type
Senior IC AI Data & Security Governance Engineer
Builds
Automated security controls, data access infrastructure, and CI/CD-integrated model evaluation pipelines
Domain
AI/ML security, data governance, cloud infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Bash, Go, RBAC, data masking, encryption, CI/CD integration, model monitoring, metadata lineage, audit automation, NIST AI RMF, ISO 42001, OWASP LLM Top 10
Preferred skills
GDPR/CCPA compliance translation, distributed team management
Technologies
HashiCorp Vault, AWS Secrets Manager, Milvus, Pinecone, pgvector, Llama, NeMo Guardrails, Llama Guard, Guardrails AI, Collibra, Immuta, Privacera
Responsibilities
Design and implement granular Role-Based Access Control (RBAC) and identity management; Build automated data masking, anonymization, and encryption mechanisms; Engineer and deploy technical safeguards for large language models including input/output filtering; Integrate automated security scanning and model performance evaluations into CI/CD pipelines; Develop automated processes to extract and catalog metadata ensuring end-to-end data lineage; Build automated reporting scripts and dashboards for data access logs and model compliance.
Seniority
Senior, hands-on IC
