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

Location: (HTA) NCP (Hillsboro, OR) Job ID: R0144180 Date Posted: 2026-09-16 Company Name: HITACHI HIGH-TECH AMERICA, INC. Profession (Job Category): IT, Telecom & Internet Job Schedule:  Full time Remote: No Job Description: 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 Oppor