The Position
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. Your role is to help bridge the gap between network security engineering and data science, contributing to the development of intelligent automation that reduces manual intervention and shifts our infrastructure toward a proactive, self‑healing model. You will apply your technical expertise to ensure these technologies integrate seamlessly with our core stack, including Cisco ISE, 802.1x, and Palo Alto Networks.
Job Responsibilities
- AI Strategy & Roadmap Execution
- 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.
- AI‑Driven Observability & Inventory
- 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.
- Proactive Defense & Automation
- 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.
Qualifications
- Education / Experience
- Educational Background: Bachelor's degree in Computer Science, Data Science, Cyber Security, Information Technology, or a related technical field.
- 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.
- Technical Skills
- AI/ML Proficiency: Practical experience applying AI/ML concepts (e.g., Supervised/Unsupervised learning, NLP, or Anomaly Detection) to technical datasets.
- 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.
- Skills below will be considered a plus
- Certification: Professional certifications in Network Security (e.g., PCNSE, CCNP Security) or Monitoring (LogicMonitor Certified Professional).
- Preferred certifications in AI/ML combined with demonstrated technical projects in the AI space.
- Leadership Skills
- Communication: Strong ability to build trust with network and infrastructure experts and explain complex security policy concepts to non‑technical stakeholders.
- 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.
- Self‑Starter: Proven ability to manage technical workstreams from concept to production with minimal supervision, taking full ownership of the Edge Defense product lifecycle.
- Additional Qualifications
- Demonstrated ability to mentor colleagues with less experience and provide guidance on cybersecurity best practices and analysis techniques.
- Strong facilitation, communication, and conflict resolution skills to ensure alignment across multiple product squads and complex stakeholder networks.
- Demonstrated interpersonal, collaborative and commitment to operational excellence skills.
Roche is an Equal Opportunity Employer.