{"id":989702,"url":"https://alion.io/job/hitachi-ai-data-security-governance-engineer-mad-bs-or","title":"AI Data & Security Governance Engineer (MAD-BS-OR)","company":{"id":129,"name":"Hitachi","domain":"hitachi.com","url":"https://alion.io/company/hitachi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":428,"ghost_share":0.002,"stale_share":0.675,"repost_share":0.021,"time_to_fill_p50_days":17,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hillsboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":134476,"max":184905,"currency":"USD","period":"year","gross":null,"usd_annual":184905},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Git","optional":false},{"name":"Guardrails AI","optional":false},{"name":"Hallucination","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"IAM","optional":false},{"name":"ISO 42001","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"NeMo Guardrails","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"Red Teaming","optional":false},{"name":"SQL","optional":false},{"name":"Zero Trust","optional":false},{"name":"GDPR","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-29T06:53:29Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Location:\n(HTA) NCP (Hillsboro, OR)Job ID:\nR0144180Date Posted:\n2026-09-16Company Name:\nHITACHI HIGH-TECH AMERICA, INC.Profession (Job Category):\nIT, Telecom & InternetJob Schedule:\nFull timeRemote:\nNoJob Description:\nPOSITION: AI Data & Security Governance Engineer\nDIVISION: Metrology and Analysis Systems Division (MAD)\nCOMPANY: Hitachi High-Tech America, Inc. (“HTA”)\nLOCATION: Hillsboro, OR\nTRAVEL: Up to 25% (domestically and internationally)\nREMOTE WORK: Hybrid (+50% Onsite) - Onsite 60% / Remote 40%\nEXPECTED PAY RANGE: $134,476 - $184,905 annually\nThis 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.\nPOSITION SUMMARY\nAs 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.\nPRIMARY RESPONSIBILITIES\nData Security, Access & Infrastructure Security\nAutomated Access Controls: Design, implement, and maintain granular Role-Based Access Control (RBAC) and identity management across our cloud infrastructure and internal tools\nData Protection Pipelines: Build automated data masking, anonymization, and encryption mechanisms into data ingestion and processing pipelines\nInfrastructure Security: Secure distributed storage solutions and ensure secure configurations across compute instances and databases\nCloud IAM hardening, secret management (e.g., HashiCorp Vault, AWS Secrets Manager), and zero-trust data access patterns\nSecure vector database architecture (e.g., Milvus, Pinecone, pgvector) with tenant isolation and metadata-level filtering\nAI/MLSecOps & Guardrail Implementation\nGenerative 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\nCI/CD Integration: Integrate automated security scanning, fairness/bias testing, and model performance evaluations directly into standard CI/CD deployment manuals\nModel Monitoring: Build telemetry and alerting systems to track model drift, anomalous API usage, and compliance adherence in real-time\nData Governance Infrastructure\nMetadata & Lineage: Develop automated processes to extract and catalog metadata, ensuring end-to-end data lineage is tracked programmatically\nAudit Automation: Build automated reporting scripts and dashboards to provide continuous visibility into data access logs and model compliance for security audits\nOther duties as assigned\nEDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS\nMaster’s degree in Computer Security, AI Engineering/Governance, Software Engineering, or related field or equivalent combination of education and experience\nEXPERIENCE and TRAVEL REQUIREMENTS\nTechnical Experience\nMinimum of five (5) years of software, data, or security engineering experience\nMinimum of five (5) years of experience of programming proficiency in Python, SQL, Bash, Go, or similar languages used in data and infrastructure engineering\nMinimum of five (5) years of experience with AI/ML Ops deploying and securing machine learning models (including generative AI/LLMs) in production environments\nMinimum of five (5) years of experience with DevOps & Automation CI/CD pipelines, Git workflows (e.g., monorepo architecture), and infrastructure-as-code tools\nMinimum of five (5) years of experience in Governance platforms such as Collibra, Immuta, Privacera etc.\nMinimum of five (5) years of experience with frameworks and audits such as NIST AI RMF, ISO 42001, OWASP LLM Top 10\nDomain Expertise\nMinimum of one (1) year of hands-on experience implementing AI guardrails and moderation pipelines (e.g., NeMo Guardrails, Llama Guard, Guardrails AI)\nMinimum of one (1) year of experience in AI red teaming, adversarial robustness testing, and hallucination/bias monitoring\nDeep understanding of data security principles (encryption, IAM, secure network architecture)\nFamiliarity with cloud platforms and distributed storage architecture\nKnowledge of AI vulnerabilities (e.g., OWASP Top 10 for LLMs) and mitigation strategies\nPreferred Qualifications\nMinimum of five (5) years of experience working with distributed teams across multiple geographic regions\nFamiliarity with compliance frameworks (GDPR, CCPA) and translating them into technical requirement\n25% travel (international and domestic)\nSKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS\nAbility to work under pressure and with aggressive release timelines\nAbility to work in a challenging, small team environment (less than 10 members)\nAbility to prioritize and multitask between multiple responsibilities\nMust have strong problem-solving skills\nDemonstrate strong work ethics\nDemonstrate strong verbal and written communication skills with people at all levels within the organization and outside of the company\nAbility to quickly transport from location to location (i.e., air, car, etc.)\nMust comply with all corporate safety requirements and directives\nExpected to use Personal Protective Equipment (PPE) when required\nFollow all equipment-specific safety protocols \nEqual Opportunity Employer (EOE)\nHitachi High-Tech America, Inc. is an equal opportunity employer. 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