As a Cybersecurity Engineer you'll have the opportunity to work with industry leading technologies at scale to protect our products from an always evolving threat landscape. This hands-on position will be responsible for our end-to-end endpoint security controls and collaborate with other cross-functional teams to ensure central cybersecurity solutions are effective and in alignment with Nielsen’s strategic goals.

Responsibilities

• Design, build, configure, and maintain internal cybersecurity controls related to AI technologies and processes.
• Provide cybersecurity guidance on the strategy and implementation of AI, with a focus on protecting sensitive data across all systems, including structured databases and unstructured data lakes.
• Develop scripts and automation for complex security workflows and integrations, leveraging languages like Python and tools like Ansible to enhance efficiency.
• Optimize AI, network, and system security tools by tuning policies for efficiency and accuracy to prevent false positives and enhance threat detection.
• Contribute to automation efforts to facilitate the secure deployment and configuration of cybersecurity technology both on-prem and in the cloud.
• Develop architecture diagrams and documentation for Nielsen’s security controls and processes, with a focus on comprehensive solutions that span on-premise, cloud, and AI/ML environments.
• Implement and manage network and system security measures, including firewalls, intrusion detection/prevention systems (IDS/IPS), web application firewalls (WAF), and Network Access Control (NAC) to protect enterprise infrastructure.
• Secure the AI/ML lifecycle, including protecting model training data, implementing controls to prevent adversarial attacks, and ensuring the integrity of generative AI applications.
• Troubleshoot escalated, high-impact cybersecurity problems across system and network layers.
• Remain current on cybersecurity technology, vulnerabilities, attacks, and countermeasures, with a special focus on emerging threats to AI and machine learning models.

• Expertise in AI security methodologies and their implementation in complex environments.
• Proven scripting and automation experience (Python, Shell, Bash, Ansible, etc.).
• Strong knowledge of cloud computing security standards and controls (AWS, GCP, Azure).
• Deep experience with network and system security technologies such as firewalls (e.g., Palo Alto, Cisco), IDS/IPS, WAFs, and Network Access Control (NAC).
• Experience in securing the AI/ML lifecycle, including data privacy, model integrity, and knowledge of frameworks like the OWASP Top 10 for LLMs.
• Experience leading projects from start to finish.
• Ability to work both independently and as part of a team with minimal supervision.
• Ability to communicate complex technical details in a clear, understandable manner to both technical and non-technical audiences.
• Experience providing and validating security requirements related to information system design, implementation, and business processes.
• Knowledge of common information security standards, such as ISO, CIS, and NIST.
• Relevant security certifications such as SANS/GIAC, CCIE Security, CAISP or OSCP.
• B.S. in Computer Science, Cybersecurity with 5+ Years of experience or
• M.S. in Computer Science, Cybersecurity with 3+ Years of experience or
• No degree 7-10+ Years of experience

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