AI/ML Cybersecurity Lead
Becton, Dickinson and Company10 months ago
San Antonio, TX, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
We are seeking an experienced and visionary AI/ML Security Lead to drive the secure design, development, and deployment of AI and machine learning systems across BD. In this role you will identify and mitigate AI-specific threats, ensure compliance with emerging AI regulations, and embed security best practices throughout the AI/ML lifecycle. The position involves dynamic cross-functional coordination with IT, R&D, and cybersecurity teams, ensuring that all AI/ML products are secure by design and adhere to regulatory requirements. Candidates near our US - BD locations are encouraged to apply for this in-office opportunity.
Key Responsibilities
- Support the development and implementation of AI security policies, standards, and frameworks.
- Lead threat modeling and risk assessments for AI/ML systems and secure AI development initiatives.
- Collaborate with legal and compliance teams to ensure adherence to AI-related regulations (e.g., EU AI Act, NIST AI RMF).
- Partner with data science and engineering teams to embed security into the AI/ML development lifecycle (MLOps) and enforce secure coding practices.
- Evaluate third-party AI tools and APIs for security and privacy risks, and support monitoring strategies for AI model behavior and drift.
- Investigate AI-related security incidents including adversarial attacks and model inversion, and co-develop response playbooks for AI-specific threats.
- Stay current with emerging AI/ML security threats, tools, and research, while mentoring internal teams on AI security best practices.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Cybersecurity, Data Science, or a related field.
- 8+ years of experience in cybersecurity with at least 2 years focused on AI/ML systems.
- Strong understanding of AI/ML technologies, architectures, and threat landscapes.
- Experience with secure MLOps, adversarial ML techniques, and AI model governance.
- Familiarity with regulatory frameworks (e.g., NIST AI RMF, ISO/IEC 42001, GDPR, EU AI Act).
- Certifications such as CISSP, CCSP, or emerging AI security credentials are a plus.
- Excellent communication, organizational, critical thinking, and problem-solving skills.
Preferred Qualifications
- Hands-on experience with AI/ML platforms such as TensorFlow, PyTorch, Azure ML, or SageMaker.
- Knowledge of data privacy, model explainability, and fairness in AI.
- Strong communication and stakeholder management skills.
Benefits & Perks
- Compensation: Competitive package including an Annual Bonus, Potential Discretionary LTI Bonus, phone reimbursement, and a salary range of $137,100.00 - $226,300.00 USD Annual.
- Health & Well-being: Medical coverage, Health Savings Accounts, Flexible Spending Accounts, Dental and Vision coverage, Hospital Care, Critical Illness, Accidental Injury, Life and AD&D Insurance, and Short/Long-term disability coverage.
- Retirement & Financial: BD 401(k) Plan, Deferred Compensation, 529 College Savings Plan, Financial Counseling, Baxter Credit Union (BCU), and Daily Pay options.
- Life Balance: Paid Time Off (including required State leaves), Educational Assistance/Tuition Reimbursement, Legal Plan, Group Insurance options, Commuter Benefits, and various employee discounts.
- Additional Perks: Access to wellness programs including anxiety management, sleep improvement, weight management, virtual physical therapy, and support programs such as adoption assistance, backup day care, eldercare, Employee Assistance Program (EAP), and Paid Parental Leave.
Required Skills
Regulatory Compliance
Cybersecurity
Incident Response
Risk Assessment
AI/ML Security
Stakeholder Management
Adversarial Machine Learning
Threat Modeling
Secure MLOps
Secure Coding Practices