Senior Manager Network Engineering, Automation & AI Innovation
Main Responsibilities
Lead a team of engineers building lab automation, orchestration, and AI-driven capabilities for network environments.
Advance lab AI capabilities that analyze packet captures, crash dumps, test reports, outage data, and standards documentation to improve diagnosis, troubleshooting, and solution recommendations.
Scale AI/LLM and MCP-enabled tooling that can interpret lab data, compare configurations against standards, and accelerate future automation projects.
Connect lab automation work to broader AI enablement priorities, including knowledge management, AI-driven configuration intelligence, and repeatable engineering workflows.
Develop and scale AI-driven solutions (e.g., predictive analytics, Digital Twins, autonomous network operations).
Drive adoption of infrastructure-as-code, API-driven architectures, and programmable networks.
Partner with engineering teams to enable self-service, scalable test and development environments.
Build and evolve data platforms and telemetry pipelines to support advanced analytics and decision-making.
Evaluate and integrate emerging technologies (AI, distributed compute, advanced networking models).
Translate innovation into practical engineering capabilities and operational improvements.
Collaborate with cross-functional leaders to shape future network architecture and platform strategy.
Qualifications
Bachelor's degree in a relevant field (cloud engineering, electrical engineering, computer engineering, computer science, etc.).
10+ years of experience in Network engineering, Software engineering, or System/Platform engineering.
Strong expertise in:
- Network automation and orchestration
- CI/CD pipelines and development frameworks
- Kubernetes and cloud-native platforms
Experience with:
- AI/ML applications in infrastructure or network environments
- Data analytics and telemetry-driven decision-making
- API-driven systems and infrastructure-as-code
Ability to communicate complex technical concepts to both technical and non-technical audiences.
Proven ability to lead teams driving innovation and transformation initiatives.