Data Governance AI Security Engineer

Siemens AG
Milford, OH, United States
15 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$109,800.0 - $197,700.0
Working hours
Regular working hours

Tech stack

Training Data 3d Models Computer-Aided Design Artificial Intelligence Amazon Web Services Apache HTTP Server Microsoft Azure Cloud Computing Security Cyber Security Information Systems Continuous Integration Data Governance
+13 more
Revision Control Systems Information Systems Security Architecture Professional Machine Learning Open Web Application Security Raw Data Feature Engineering Data Ingestion Large Language Models Information Technology Data Lineage Machine Learning Operations Software Version Control Vulnerability Analysis

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., * 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, 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 . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws., Job Summary: Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a …

  • 2 months ago

Requirements

  • 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).

Benefits & conditions

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: 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: 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 . 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.

About the company

U.S. Bank

  • Cincinnati, OH
  • $111,605-131,300 per year At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we suppor…

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

9:51 min

Live demonstration of dynamic data redaction plugins

Tom Kaltofen Tom Kaltofen +1 · Europe 2026 Virtual

2:09 min

Introduction to building iOS augmented reality applications

Nermin Sehic · LIVE

4:09 min

Challenges of interpreting raw data with language models

Clemens Vasters Clemens Vasters · World Congress 2025

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:53 min

Mapping end-to-end data lineage for regulatory compliance

Ferd Scheepers · World Congress 2022

Videos

See all

Related articles

See all