AI Data Security and Compliance Specialist – Red Team

Basic Qualifications

• Bachelor’s or Master’s Degree in Data Science, Computer Science, engineering, or a related field.
• Expertise in data management and data risk mitigation with working knowledge of managing for AI/ML lifecycle.
• Proficiency in Python, SQL, and big data tools (e.g., Spark).
• Strong grasp of database technologies (SQL, NoSQL, OR other data warehouses) and data governance tools (e.g., Apache Atlas, Collibra, OR IBM WatsonX).
• Knowledge of data privacy laws (GDPR, CCPA, OR EU AI act) and AI risk management frameworks (NIST AI RMF, OR ISO/IEC 23894).
• Must be a US Citizen.
  

Job Description

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy professional with subject matter expertise in software engineering and computer science to support the Applied AI team and product portfolio, focusing on Red Team projects within the LAIC.Our AI Red Team ensures AI systems are safe, secure, compliant, and ethical by identifying vulnerabilities and certifying models. We are building a multidisciplinary team of experts in data, algorithms, hardware/software, and ML frameworks to pursue this goal at speed and scale as the adoption of AI grows.The AI Data Security and Compliance Specialist will test and certify AI models for data-related dependencies to ensure safety, security, privacy, and compliance. The role also involves developing long-term standards, practices, and tools for secure data usage, aligning with the risk frameworks such as NIST AI RMF.Key Responsibilities

• Perform hands-on testing of datasets and AI models to identify vulnerabilities like bias, leakage, data security, and privacy risks.
• Develop reusable frameworks and practices for data governance, traceability, usage, and compliance.
• Implement and manage tools for data validation, lineage tracking, and privacy preservation.
• Collaborate with developers, data scientists, and security teams to ensure robust and ethical data usage.
• Align with NIST AI RMF requirements, ensuring data-related risks are addressed across the AI lifecycle.
• Stay updated on emerging data tools, technologies, and regulations specifically related to adoption of AI.
  

Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.

What’s In It For You

‍From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.The selected candidate can work at any major Lockheed Martin facility or remotely.Must be a US Citizen.Desired Skills

• Master’s Degree in Data Science, Computer Science, engineering, or a related field.
• Cloud Service Provisioning and Security in AWS and Azure.
• Experience identifying and mitigating risks such as bias, poisoning, and leakage in AI/ML models.
• Ability to develop automated testing frameworks for data validation and compliance.
• Understanding of encryption, secure data-sharing, and knowledge of adversarial ML threats.
• Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and LLMOps.
• Ability to work with cross-functional teams across LAIC, Data Scientists, ML Engineers, Control partners, and Cybersecurity.
• DoD Red Team and Cybersecurity experience.
• Expertise in data management and data risk mitigation with working knowledge of managing for AI/ML lifecycle.
• Proficiency in Python, SQL, and big data tools (e.g., Spark).
• Cloud Service Provisioning and Security in AWS and Azure.
• Strong grasp of database technologies (SQL, NoSQL, data warehouses) and data governance tools (e.g., Apache Atlas, Collibra, IBM WatsonX).
• Experience identifying and mitigating risks such as bias, poisoning, and leakage in AI/ML models.
• Ability to develop automated testing frameworks for data validation and compliance.
• Knowledge of data privacy laws (GDPR, CCPA, EU AI act) and AI risk management frameworks (NIST AI RMF, ISO/IEC 23894).
• Understanding of encryption, secure data-sharing, and knowledge of adversarial ML threats.
• Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and LLMOps.
• Ability to work with cross-functional teams across LAIC, Data Scientists, ML Engineers, Control partners, and Cybersecurity.
• Must be a US Citizen.
  

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

‍Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.