PRIMARY RESPONSIBILITIES
Data Security, Access & Infrastructure Security
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
AI/MLSecOps & Guardrail Implementation
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
Data Governance Infrastructure
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
EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS
Master’s degree in Computer Security, AI Engineering/Governance, Software Engineering, or related field or equivalent combination of education and experience
EXPERIENCE and TRAVEL REQUIREMENTS
Technical Experience
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
Domain Expertise
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
Preferred Qualifications
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)
SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS
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
Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived of race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
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
