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

• Automated Access Controls: Design, implement, and maintain granular Role-Based Access Control (RBAC) and identity management across our cloud infrastructure and internal tools
• Data Protection Pipelines: Build automated data masking, anonymization, and encryption mechanisms into data ingestion and processing pipelines
• Infrastructure Security: Secure distributed storage solutions and ensure secure configurations across compute instances and databases
• Cloud IAM hardening, secret management (e.g., HashiCorp Vault, AWS Secrets Manager), and zero-trust data access patterns
• Secure vector database architecture (e.g., Milvus, Pinecone, pgvector) with tenant isolation and metadata-level filtering

• Generative AI Security: Engineer and deploy technical safeguards for large language models (e.g., Llama or similar architecture), including input/output filtering to prevent prompt injection and data leakage
• CI/CD Integration: Integrate automated security scanning, fairness/bias testing, and model performance evaluations directly into standard CI/CD deployment manuals
• Model Monitoring: Build telemetry and alerting systems to track model drift, anomalous API usage, and compliance adherence in real-time

• Metadata & Lineage: Develop automated processes to extract and catalog metadata, ensuring end-to-end data lineage is tracked programmatically
• Audit Automation: Build automated reporting scripts and dashboards to provide continuous visibility into data access logs and model compliance for security audits

• Other duties as assigned

• Master’s degree in Computer Security, AI Engineering/Governance, Software Engineering, or related field or equivalent combination of education and experience

• Minimum of five (5) years of experience working with distributed teams across multiple geographic regions
• Familiarity with compliance frameworks (GDPR, CCPA) and translating them into technical requirement

• 25% travel (international and domestic)

• Ability to work under pressure and with aggressive release timelines
• Ability to work in a challenging, small team environment (less than 10 members)
• Ability to prioritize and multitask between multiple responsibilities
• Must have strong problem-solving skills
• Demonstrate strong work ethics
• Demonstrate strong verbal and written communication skills with people at all levels within the organization and outside of the company
• Ability to quickly transport from location to location (i.e., air, car, etc.)
• Must comply with all corporate safety requirements and directives
• Expected to use Personal Protective Equipment (PPE) when required
• Follow all equipment-specific safety protocols 

• Minimum of five (5) years of software, data, or security engineering experience
• Minimum of five (5) years of experience of programming proficiency in Python, SQL, Bash, Go, or similar languages used in data and infrastructure engineering
• Minimum of five (5) years of experience with AI/ML Ops deploying and securing machine learning models (including generative AI/LLMs) in production environments
• Minimum of five (5) years of experience with DevOps & Automation CI/CD pipelines, Git workflows (e.g., monorepo architecture), and infrastructure-as-code tools
• Minimum of five (5) years of experience in Governance platforms such as Collibra, Immuta, Privacera etc.
• Minimum of five (5) years of experience with frameworks and audits such as NIST AI RMF, ISO 42001, OWASP LLM Top 10

• Minimum of one (1) year of hands-on experience implementing AI guardrails and moderation pipelines (e.g., NeMo Guardrails, Llama Guard, Guardrails AI)
• Minimum of one (1) year of experience in AI red teaming, adversarial robustness testing, and hallucination/bias monitoring
• Deep understanding of data security principles (encryption, IAM, secure network architecture)
• Familiarity with cloud platforms and distributed storage architecture
• Knowledge of AI vulnerabilities (e.g., OWASP Top 10 for LLMs) and mitigation strategies

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA-AccommodationRequests@hitachi-hightech.com