Lead a team of engineers working on AI-driven solutions in the networking and network security domain
Act as a hands-on technical leader, guiding design, architecture, and implementation
Work closely with customers, solution architects, and delivery teams to understand requirements and propose solutions
Collaborate with client product managers, architects, and engineering stakeholders to align on technical direction, scope, and roadmap
Drive execution of AI-based automation, analytics, and optimization use cases in networking projects
Ensure timely delivery of high-quality software aligned with client expectations
Stay abreast of industry trends in AI and networking to identify innovation opportunities
Foster a collaborative and performance-driven culture within the team
Lead internal product accelerators and contribute to reusable solution assets and frameworks
Drive engineering best practices including Agile/Scrum methodologies, CI/CD, code quality, design reviews, and architecture decision records
Oversee hiring and onboarding of engineers; collaborate with recruitment to build high-caliber teams
Identify and manage risks proactively, including technical, resourcing, and delivery-related risks
Coach, mentor, and grow engineering leads and senior developers; foster a culture of learning, collaboration, and ownership

8+ years of experience in engineering roles, with at least 2 years in a team leadership or engineering management capacity (or 12+ years with 4+ years in leadership roles)
Proven experience in projects at the intersection of AI/ML and networking technologies
Deep understanding of network communication protocols (e.g., TCP/IP, SNMP, BGP, OSPF)
Practical knowledge of AI/ML tools and frameworks (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
Strong problem-solving and analytical skills with a hands-on mindset
Proven experience managing multiple product engineering teams in a client-facing services environment
Excellent communication and stakeholder engagement skills
Knowledge of cloud-native platforms (AWS, Azure, GCP), containerization, and microservices

Experience working with OEMs, MSPs, or service providers in the networking domain
Understanding of SDN, NFV, or cloud networking architectures (AWS, GCP, Azure)
Exposure to AI/ML Ops tools (e.g., MLflow, Kubeflow, SageMaker)
Ability to manage cross-functional teams and lead delivery across multiple projects
Excellent communication and stakeholder engagement skills (reiterated for emphasis due to client-facing nature)

Senior Engineering Manager- AI/ML & networking