Company Name

Ford ( Chennai )

Job Description

• We are seeking a highly technical, hands-on Network & Security AI Delivery Manager to lead the implementation of our next-generation AI-driven network and security platforms. This is a playing coach role, designed for a technical expert who thrives on building and deploying complex systems while providing leadership to a small, high-performing team.The role is structured as a 70/30 split: 70% of your time will be spent as an individual contributor-architecting, coding, and implementing AI solutions within the network and security domain-and 30% will be dedicated to managing a team of up to 6 engineers, overseeing project delivery, and mentoring staff.RESPONSIBILITIESTechnical Implementation & Delivery (70%)

  • AI Platform Implementation: Lead the hands-on deployment and integration of AI/ML models into network operations, specifically focusing on predictive maintenance, anomaly detection, and automated incident response.
  • Cisco Ecosystem Integration: Drive the technical execution of Cisco-centric networking solutions, utilizing Cisco Catalyst Center for wired/wireless monitoring and leveraging Custom AI platforms or Cisco AI Canvas to build and deploy network-specific AI use cases.
  • NetDevOps & Automation: Develop and maintain advanced automation scripts (Python, Ansible, or Terraform) to streamline network operations and security workflows.
  • Security AI Execution: Architect and implement AI-driven security projects, such as automated threat hunting, encrypted traffic analytics, and zero-trust architecture enhancements.
  • Cloud Infrastructure: Manage and optimize network/security AI workloads within GCP or Azure, ensuring high availability, scalability, and cost-efficiency.
  • Troubleshooting & Optimization: Act as the Tier 3/4 escalation point for complex technical issues involving AI model drift in network monitoring or security false positives.
  • Team Leadership & Project Management (30%)
  • Team Management: Lead, mentor, and manage a team of up to 6 network and security engineers, fostering a culture of continuous learning and technical excellence.
  • Delivery Oversight: Own the end-to-end delivery lifecycle of AI projects, from requirements gathering and sprint planning to final deployment and post-launch support.
  • Stakeholder Communication: Translate complex technical AI concepts into actionable business insights for senior leadership and cross-functional stakeholders.
  • Resource Planning: Manage team capacity, performance reviews, and professional development paths for direct reports.

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