AI Security Engineer, ML Data Provenance & Compliance

Siemens Digital Industries Software; Cincinnati (OH); Hybrid; USD 110,000 - 198,000; Full time

Benefits offered by this job

Hybrid work model

Health and wellness benefits

Incentive compensation

Job summary

Siemens Digital Industries Software is seeking an AI Security engineer to implement security controls across the ML/AI lifecycle. The role emphasizes securing pipelines, provenance, risk assessments, and compliance within a hybrid setup based in Livonia, MI or Milford, OH.

The ideal candidate has strong technical security credentials, hands-on experience with ML security, and familiarity with tools like DVC/OpenLineage. Collaborative cross-functional work is essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, Information Systems, or related field.
• Deep understanding of the end-to-end ML lifecycle from raw data to production inference.

Responsibilities

• Secure ML/AI model pipelines (CI/CD for ML/MLOps).
• Implement cryptographic controls and data provenance mechanisms.
• Track end-to-end data provenance and data lineage.
• Ensure compliance with corporate AI/data guidelines and regulations.
• Maintain Data Bill of Materials and model/data cards.

Skills

AI security

Threat modeling

Data provenance

Cross-functional communication

Education

Bachelor’s or Master’s in CS/Cybersecurity/Data Science/IS

Tools

DVC

OpenLineage

Apache Atlas

OpenMetadata

Job description

Siemens Digital Industries Software is seeking an AI Security engineer to implement security controls across the ML/AI lifecycle. The role emphasizes securing pipelines, provenance, risk assessments, and compliance within a hybrid setup based in Livonia, MI or Milford, OH.

The ideal candidate has strong technical security credentials, hands-on experience with ML security, and familiarity with tools like DVC/OpenLineage. Collaborative cross-functional work is essential.