Data Governance AI Security Engineer at Siemens

Job description

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can 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. Key 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). Data Bill of Materials (DBOM): Experience establishing Data/Model Cards, AI Nutrition Labels, and Data Bill of Materials to audit training data sources, consent, and licensing. • Risk Assessment & Auditing: Ability to conduct AI impact assessments (AIIAs), bias audits, and data provenance reviews across complex, multi-source ingestion pipelines. • AI Vulnerability Testing: Proficiency in 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). • Data Provenance & Versioning Tools: Hands-on experience with data lineage and versioning tools like DVC (Data Version Control), OpenLineage, Apache Atlas, or OpenMetadata. • Cross-Functional Communication: Proven track record bridging technical engineering teams, legal/compliance departments Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, Information Systems, or a related field (or equivalent hands-on industry experience). • Domain Knowledge: 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). Certifications (Desirable): • 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). 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. Compensation & Benefits: 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. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: jobs.sw.siemens.com Why us? Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Siemens Software. Transform the Everyday #LI-PLM #LI-HYBRID #SWSaaS You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: benefitsquickstart.com The pay range for this position is $109,800 - $197,700 annually. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form . If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

Requirements

Must-haves

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.
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
Risk Assessment & Auditing: Ability to conduct AI impact assessments (AIIAs), bias audits, and data provenance reviews across complex, multi-source ingestion pipelines.
Data Provenance & Versioning Tools: Hands-on experience with data lineage and versioning tools like DVC (Data Version Control), OpenLineage, Apache Atlas, or OpenMetadata.
Cross-Functional Communication: Proven track record bridging technical engineering teams, legal/compliance departments
Education: Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, Information Systems, or a related field (or equivalent hands-on industry experience).
Domain Knowledge: 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).
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).
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.
You’ll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html

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aimlci/cdmachine learningawsazuregcp

Platform: avature
Effort: medium

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Wellness