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As a Cybersecurity Engineer within the AI Innovation workstream, you will be a key technical contributor responsible for the hands-on execution of our AI/ML security strategy.
Working as part of a specialized team, you will assist in developing and implementing AI capabilities to optimize service delivery across the Design, Build, and Operations phases of our network security solutions.
Strategy Definition: Partner with product owners to define the vision for AI adoption within Network Security (e.g., predictive threat detection, automated policy optimization).
Hands-on Implementation: Lead the technical execution of AI workstreams, moving from Proof of Concept (POC) to production-ready security enhancements.
SME for AI Security: Act as the Subject Matter Expert for how AI can be leveraged to improve the efficacy and performance of Cisco ISE, Palo Alto, and 802.1x infrastructures.
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Intelligent Monitoring: Develop AI/ML models to identify anomalies in network traffic and security appliance telemetry that traditional threshold-based monitoring misses.
Automated Classification: Enhance asset inventory and device profiling (NAC) by applying machine learning to identify complex IoT and medical device patterns.
Framework Integration: Integrate AI insights into the existing observability front-end and backend frameworks to provide actionable intelligence to operations teams.
Predictive Analytics: Implement tools to predict potential security bottlenecks or infrastructure failures before they impact the global network.
Policy Optimization: Use AI to analyze firewall and NAC policy usage, recommending automated cleanup or hardening of security rules.
Continuous Improvement: Lead the "Design, Build, and Improve" cycle for AI-driven security controls, ensuring they evolve alongside the threat landscape.
Solid Security Foundation: Minimum 5 years of experience in Cybersecurity, with deep knowledge of network security principles (NAC, Firewalls, ZTNA).
Innovation Track Record: Proven experience leading technical workstreams from concept to production, particularly those involving new technology adoption.
Scale & Scope: Proven experience in architecting and operating solutions at a global scale.
Educational Background: Bachelor’s degree in Computer Science, Data Science, Cyber Security, Information Technology, or a related technical field.
Programming & Data Science: Proficiency in Python and experience with API-driven integrations.
Security Platforms: SME-level understanding of Cisco ISE, 802.1x, and Palo Alto Networks (Pan-OS, Panorama).
Cloud & Big Data: Familiarity with cloud-based AI services (AWS SageMaker, Azure ML) and processing large-scale security logs (Splunk, Elastic).
Infrastructure as Code: Experience with Terraform, Ansible, and GitLab-CI for automated deployments.
Preferred certifications in AI/ML combined with demonstrated technical projects in the AI space.
Innovation & Curiosity: A relentless passion for staying ahead of threat actors by researching emerging network security trends and automated enforcement techniques.
Thriving in Ambiguity: Ability to navigate global complexity and drive clarity when translating high-level security requirements into functional network policies.
Strong facilitation, communication, and conflict resolution skills to ensure alignment across multiple product squads and complex stakeholder networks
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Global pioneer in pharmaceuticals and diagnostics.
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