Senior Engineering Manager- AI/ML & networking

We are looking for a dynamic Engineering Manager with a strong technical foundation in both AI/ML and networking technologies. This role demands a leader who can manage and mentor a team of engineers, drive execution on technically complex projects, and interface directly with clients and internal stakeholders to translate requirements into impactful solutions.

• Lead a team of engineers working on AI-driven solutions in the networking domain.


• 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

  clients 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: Agile/Scrum, CI/CD, code quality, design reviews, architecture decision records.


• Oversee hiring and onboarding of engineers and work closely with recruitment to build high-calibre teams.


• Identify and manage risks proactively technical, resourcing, or delivery-related.


• 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.


• 12+ with at least 4 yrs in team leadership or engineering management capacity


• 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 techniques (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.