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 &…