Network AI Delivery Manager
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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 contributorarchitecting coding and implementing AI solutions within the network and security domainand 30% will be dedicated to managing a team of up to 6 engineers overseeing project delivery and mentoring staff.
Responsibilities
Technical 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.
Qualifications
Domain Expertise: Minimum of 810 years in IT Networking and Security with a deep understanding of wired and wireless architectures.
Cisco Proficiency: Hands-on experience with Cisco Catalyst Center and a strong working knowledge of Ciscos AI/ML roadmap (Cisco AI Canvas).
AI/ML in Security: Proven track record of executing AI-driven projects specifically within the security domain (e.g. SIEM/SOAR enhancement behavioral analytics).
Automation Skills: Strong proficiency in Python and REST API integrations for network automation (NetOps).
Cloud Skills: Professional-level experience with Google Cloud Platform (GCP) or Microsoft Azure specifically regarding networking and AI/ML service stacks (e.g. Vertex AI or Azure Machine Learning).
Leadership Experience: Prior experience managing technical teams or acting as a formal Lead Engineer with delivery responsibilities.
Required Experience:
Manager
Key Skills
- Project Management Methodology
- Kanban
- Project / Program Management
- Agile
- Waterfall
- Project Leadership
- Application Development
- Project Management
- Scrum
- Microsoft Project
- SDLC
- Project Implementation
About Company
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