Networking (Aruba) Solution Architect -AI/ML
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)6–10 yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Hands-on responsibility for applying AI/ML, statistical modeling, and automation to improve support operations and network performance for HPE Networking products including Aruba and Juniper.
- Develop and implement predictive and prescriptive analytics solutions to enhance operational efficiency, accelerate issue resolution, and improve customer outcomes.
- Use tools like Salesforce, Power BI, and Tableau to analyze support data, visualize performance metrics, and communicate actionable insights to engineering and leadership teams.
Minimum Requirements
- Bachelor's or master's degree in computer science, engineering, IT, networking, or closely related discipline.
- 6-10 years of experience in network engineering, support operations, AI and machine learning, or a related technical field.
- Required certifications in Aruba and/or Juniper networking technologies with deep expertise in routing, switching, security, wireless, SD-WAN (e.g. Juniper MX, PTX, QFX, ACX; Aruba ClearPass, Aruba Central, Silver Peak).
- Role is onsite at HPE office (location not explicitly mentioned).
Ideal Candidate Profile
- Experienced professional at the intersection of network engineering and AI/ML with ability to develop scalable predictive analytics and automation for complex network support environments.
- Deep knowledge and practical experience with HPE Networking support processes including case management, RMA, SLA compliance, escalation, and root cause analysis.
- Strong capability to translate technical requirements into operational AI/ML workflows that drive measurable improvements in network support efficiency and customer experience.