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

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POSITION: AI Data & Security Governance Engineer

DIVISION: Metrology and Analysis Systems Division (MAD)

COMPANY: Hitachi High-Tech America, Inc. (“HTA”)

LOCATION: Hillsboro, OR

TRAVEL: Up to 25% (domestically and internationally)

REMOTE WORK: Hybrid (+50% Onsite) - Onsite 60% / Remote 40%

EXPECTED PAY RANGE: $134,476 - $184,905 annually

This pay range is for the position’s base pay only. This position may be eligible for other compensation including incentive pay and/or allowances. Candidates will receive additional information during the interview and selection process.

POSITION SUMMARY

As an AI Data & Security Governance Engineer (AIE) at HTA, you will build the technical guardrails that allow our distributed engineering and data science teams to innovate safely. Instead of just writing policies, the AIE will implement ‘governance as code.’ The AIE will design and deploy automated security controls, manage data access infrastructure, and integrate model evaluation and security checks directly into our CI/CD pipelines. The AIE will work closely with HTA divisions to ensure that our data storage, LLM deployments, and application architecture remain secure, compliant, and highly performant.

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. HitachiHigh-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[email protected]