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Hewlett Packard Enterprise

Builds servers, networking and private cloud

Networking Solution Architect - AI/ML

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Bachelor's or master's degree in computer science, engineering, information technology, networking, or a closely related discipline.
  • Typically 6–10 years of experience in network engineering, support operations, AI and machine learning, or a related technical field.
  • Possess one or more Aruba and/or Juniper certifications, with deep expertise in routing, switching, security, wireless, and SD-WAN solutions, including Juniper MX, PTX, QFX, and ACX platforms, as well as Aruba ClearPass, Aruba Central, Silver Peak, and other HPE Networking products.
  • Knowledge or skills in artificial intelligence technologies, machine learning, deep learning, statistical modeling, machine learning operations, data engineering, data science, design thinking, development fundamentals, AI tools, HPE Networking, wired and wireless networking, network support operations, cross-domain knowledge, incident management, case lifecycle management, SLA management, customer escalation handling, root cause analysis, KPI management, process improvement, Power Automate, Power BI, Tableau, Salesforce, IT performance, scalability testing, a security-first mindset, and full stack development.

Responsibilities

  • Work hands-on with HPE Networking products, including Juniper, Aruba, and related technologies.
  • Support network operations by analyzing and structuring structured and unstructured data to generate actionable insights.
  • Apply machine learning, statistical modeling, AI, and automation techniques to improve support operations, data quality, operational accuracy, and customer outcomes.
  • Develop descriptive, diagnostic, predictive, and prescriptive analytics solutions, translating technical requirements into working code, algorithms, and automated workflows.
  • Document installation and maintenance procedures, perform testing and debugging, and define and monitor performance metrics.
  • Use knowledge of HPE support processes—including case management, RMA handling, incident management, SLA compliance, escalation management, and case closure—to identify opportunities for AI and automation to reduce manual effort, accelerate response times, proactively identify issues, streamline support workflows, and enhance customer experience.
  • Apply machine learning, AI, statistical modeling, and analytical techniques to network performance data, support case trends, and operational metrics across HPE Networking solutions, including Aruba, Juniper, and related technologies. Predict issues, prioritize cases, detect anomalies, and generate actionable insights to improve support efficiency, operational effectiveness, and customer outcomes while developing practical, scalable solutions aligned with business and operational needs.
  • Leverage AI tools and automation to streamline support workflows, accelerate issue diagnosis, and improve decision-making across support operations. Use Salesforce to manage and analyze support processes, and Power BI and Tableau to visualize performance metrics, identify trends, and communicate actionable insights to engineering teams, leadership, and other stakeholders.

About the Company

Hewlett Packard Enterprise

Builds servers, networking and private cloud

Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Houston, TX
Founded
1939

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