Data Governance AI Security Engineer

About the role

We are a leading global software company dedicated to computer-aided design, 3D modeling, and simulation—helping innovative global manufacturers design better products, faster. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, enabling our people, business, and customers to achieve their full potential.

Our team is seeking a highly skilled AI Security Engineer to focus on hands-on technical implementation of security controls across the AI/ML lifecycle.

Responsibilities

• Securing model pipelines (CI/CD for ML / MLOps).
• Implementing cryptographic mechanisms and access controls to ensure data provenance (e.g., verifying that training data hasn't been tampered with).
• Tracking end-to-end data provenance (where training/RAG data originated, who modified it, and how it was sanitized).
• Ensuring compliance with corporate guidelines on data and AI usage and AI regulations.
• Maintaining data lineage documentation, AI model nutrition labels, and data bill of materials (DBOM).
• Establishing Data/Model Cards, AI Nutrition Labels, and Data Bill of Materials to audit training data sources, consent, and licensing.
• Conducting AI impact assessments (AIIAs), bias audits, and data provenance reviews across complex, multi-source ingestion pipelines.
• Threat modeling AI systems and defending against AI-specific attacks (e.g., OWASP Top 10 for LLMs, prompt injection, training data poisoning, model inversion, indirect prompt injection).
• Hands-on experience with data lineage and versioning tools like DVC (Data Version Control), OpenLineage, Apache Atlas, or OpenMetadata.
• Bridging technical engineering teams and legal/compliance departments through cross-functional communication.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, Information Systems, or a related field (or equivalent hands-on industry experience).
• Deep understanding of the end-to-end Machine Learning Lifecycle (from raw data ingestion and feature engineering to fine-tuning, RAG architecture, and production inference).

Qualifications

Desirable Certifications:

• Certified Information Systems Security Professional (CISSP)
• Certified Cloud Security Professional (CCSP)
• Practical AI/ML security credentials (e.g., specialized cloud AI security tracks from AWS/Azure/GCP).

Schedule

This is a hybrid role based in Livonia, MI or Milford, OH. Applicants must be based in one of these locations or willing to relocate.

Pay

The salary range for this position is $109,800 to $197,700 and this role is eligible to earn incentive compensation (5-10%). The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training.

Benefits

• Health and wellness benefits (accessible via Siemens benefits portal).
• Flexible work arrangements, including the choice between working from home and the office.