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

Location:(HTA) NCP (Hillsboro, OR)Job ID: R0144180Date Posted:2026-09-16Company Name:HITACHI HIGH-TECH AMERICA, INC.Profession (Job Category):IT, Telecom & InternetJob Schedule: Full timeRemote:NoJob Description:POSITION:AI Data & Security Governance EngineerDIVISION: Metrology and Analysis Systems Division (MAD)COMPANY: Hitachi High-Tech America, Inc. (“HTA”)LOCATION: Hillsboro, ORTRAVEL: Up to 25% (domestically and internationally)REMOTE WORK: Hybrid (+50% Onsite) – Onsite 60% / Remote 40%EXPECTED PAY RANGE: $134,476 - $184,905 annuallyThis 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 SUMMARYAs 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 RESPONSIBILITIESData Security, Access & Infrastructure SecurityAutomated Access Controls: Design, implement, and maintain granular Role-Based Access Control (RBAC) and identity management across our cloud infrastructure and internal toolsData Protection Pipelines: Build automated data masking, anonymization, and encryption mechanisms into data ingestion and processing pipelinesInfrastructure Security: Secure distributed storage solutions and ensure secure configurations across compute instances and databasesCloud IAM hardening, secret management (e.g., HashiCorp Vault, AWS Secrets Manager), and zero-trust data access patternsSecure vector database architecture (e.g., Milvus, Pinecone, pgvector) with tenant isolation and metadata-level filteringAI/MLSecOps & Guardrail ImplementationGenerative 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 leakageCI/CD Integration: Integrate automated security scanning, fairness/bias testing, and model performance evaluations directly into standard CI/CD deployment manualsModel Monitoring: Build telemetry and alerting systems to track model drift, anomalous API usage, and compliance adherence in real-timeData Governance InfrastructureMetadata & Lineage: Develop automated processes to extract and catalog metadata, ensuring end-to-end data lineage is tracked programmaticallyAudit Automation: Build automated reporting scripts and dashboards to provide continuous visibility into data access logs and model compliance for security auditsOther duties as assignedEDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTSMaster’s degree in Computer Security, AI Engineering/Governance, Software Engineering, or related field or equivalent combination of education and experienceEXPERIENCE and TRAVEL REQUIREMENTSTechnical ExperienceMinimum of five (5) years of software, data, or security engineering experienceMinimum of five (5) years of experience of programming proficiency in Python, SQL, Bash, Go, or similar languages used in data and infrastructure engineeringMinimum of five (5) years of experience with AI/ML Ops deploying and securing machine learning models (including generative AI/LLMs) in production environmentsMinimum of five (5) years of experience with DevOps & Automation CI/CD pipelines, Git workflows (e.g., monorepo architecture), and infrastructure-as-code toolsMinimum 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 10Domain ExpertiseMinimum 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 monitoringDeep understanding of data security principles (encryption, IAM, secure network architecture)Familiarity with cloud platforms and distributed storage architectureKnowledge of AI vulnerabilities (e.g., OWASP Top 10 for LLMs) and mitigation strategiesPreferred QualificationsMinimum of five (5) years of experience working with distributed teams across multiple geographic regionsFamiliarity with compliance frameworks (GDPR, CCPA) and translating them into technical requirement25% travel (international and domestic)SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTSAbility to work under pressure and with aggressive release timelinesAbility to work in a challenging, small team environment (less than 10 members)Ability to prioritize and multitask between multiple responsibilitiesMust have strong problem-solving skillsDemonstrate strong work ethicsDemonstrate strong verbal and written communication skills with people at all levels within the organization and outside of the companyAbility to quickly transport from location to location (i.e., air, car, etc.)Must comply with all corporate safety requirements and directivesExpected to use Personal Protective Equipment (PPE) when requiredFollow 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 View email address on click.appcast.io: (HTA) NCP (Hillsboro, OR)Type: Full time