AI​/ML Cybersecurity Lead

Join to apply for the AI/ML Cybersecurity Lead role at BD
.

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. This role will be responsible for identifying and mitigating AI‑specific threats, ensuring compliance with emerging AI regulations, and embedding security into the AI/ML lifecycle. The AI/ML cybersecurity lead will work closely with IT, R&D, and cybersecurity teams to implement cybersecurity capabilities and controls and processes across BD systems.

We encourage candidates near any of our US – BD locations to apply for this in‑office role.

• Support the development and implementation of AI security policies, standards, and frameworks.
• Lead threat modeling and risk assessments for AI/ML systems.
• 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).
• Define and enforce secure coding practices for AI models and pipelines.
• Evaluate third‑party AI tools and APIs for security and privacy risks.
• Support the design and implementation of monitoring strategies for AI model behavior and drift.
• Support investigations into AI‑related security incidents, including adversarial attacks and model inversion.
• Co‑develop response playbooks for AI‑specific threats.

• Stay current with emerging AI/ML security threats, tools, and research.
• Represent the organization in external forums and contribute to industry standards.
• Mentor and train internal teams on AI security best practices.

• Bachelor’s or master’s degree in computer science, cybersecurity, data science, or related field.
• 8+ years of experience in cybersecurity, with at least 2 years focused on AI/ML systems.
• Strong understanding of AI/ML technologies, architecture, and threat landscapes.
• Experience with secure MLOps, adversarial ML, 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, organization, critical thinking and problem‑solving skills are essential.

• Hands‑on experience with AI/ML platforms (e.g., Tensor Flow, PyTorch, Azure ML, Sage Maker, etc.).
• Knowledge of data privacy, model explainability, and fairness in AI.
• Strong communication and stakeholder management skills.

At BD, we are committed to supporting our associates’ well‑being, development, and success through a performance‑based culture. For this position, BD offers a competitive compensation package along with the following benefits:

• Annual bonus
• Potential discretionary LTI bonus
• Potential reimbursement of phone use

• Medical coverage
• Health Savings Accounts
• Flexible Spending Accounts
• Dental coverage
• Vision coverage
• Hospital Care Insurance
• Critical Illness Insurance
• Accidental Injury Insurance
• Life and AD&D insurance
• Short‑term disability coverage
• Long‑term disability insurance
• Long‑term care with life insurance

• Anxiety management program
• Wellness incentives
• Sleep improvement program
• Diabetes management program
• Virtual physical therapy
• Emotional/mental health support programs
• Weight management programs
• Gastrointestinal health program
• Substance use management program
• Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit

• BD 401(k) Plan
• BD Deferred Compensation and Restoration Plan
• 529 College Savings Plan
• Financial counseling
• Baxter Credit Union (BCU)
• Daily Pay
• College financial aid and application guidance

• Paid time off (PTO), including all required State leaves
• Educational assistance/tuition reimbursement
• Met Life Legal Plan
• Group auto and home insurance
• Pet insurance
• Commuter benefits
• Discounts on products and services
• Academic Achievement Scholarship
• Service Recognition Awards
• Employer matching donation
• Workplace accommodations