Chief Cybersecurity Architect for AI and ML Systems

4 weeks ago


Copenhagen, Copenhagen, Denmark Genmab Full time

At Genmab, we're driven by a shared passion for pioneering innovative cancer treatments and transforming the lives of patients. As a leading biotech company, we recognize that cybersecurity plays a vital role in ensuring the integrity of our cutting-edge therapies.

About the Role

We are seeking a seasoned Chief Cybersecurity Architect to join our Global Information Security Team. This strategic role demands a unique blend of technical expertise, leadership skills, and business acumen. As the primary architect responsible for AI and ML systems security, you will be instrumental in shaping our organization's cybersecurity posture.

Key Responsibilities:
  • Risk Assessment and Mitigation: Develop comprehensive risk assessments and mitigation strategies for AI and ML systems, identifying vulnerabilities and crafting effective countermeasures.
  • AI/ML Security Strategy: Design and implement robust security frameworks specifically tailored for AI and ML projects, ensuring seamless protection against emerging threats.
  • Security Framework Development: Collaborate with cross-functional teams to create and enforce industry-leading security standards for AI and ML development and deployment.
  • Incident Response for AI Systems: Partner with Security Operations to establish incident response protocols for AI/ML security incidents, including swift identification, analysis, and remediation.
Requirements:Education

A minimum of a bachelor's degree in Computer Science, Cybersecurity, AI/ML, or a related field. A master's degree is preferred.

Experience
  • 8+ years of experience in information security and IT risk management, with a focus on security architecture.
  • 5+ years of experience in network, application, or infrastructure security, encompassing hands-on technical work and compliance responsibilities.
  • Deep knowledge of cloud security infrastructure architecture, services, and solutions in AWS and Microsoft Azure.
  • Demonstrated experience in securing complex AI/ML models, particularly Large Language Models (LLMs) and deep learning architectures.
  • Familiarity with data protection and privacy laws relevant to AI/ML.
Compensation and Benefits

Our compensation package includes an estimated salary range of $120,000 - $180,000 per annum, depending on your qualifications and experience. In addition, you will receive a comprehensive benefits package, including health insurance, retirement plan matching, and paid time off.



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