At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value.

Our mission is grounded in innovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint. DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction—delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation.

Our work is fuelled by a passion for self‑service, intelligent automation, and building digital experiences that are intuitive, scalable, and human‑centric.

: Works hands-on with HPE Networking products including Juniper, Aruba, and related technologies. Supports network operations by analyzing and structuring both structured and unstructured data to generate actionable insights. Applies machine learning, statistical modeling, AI, and automation techniques to improve support operations, data quality, operational accuracy, and customer outcomes.

Develops descriptive, diagnostic, predictive, and prescriptive analytics solutions, translating technical requirements into working code, algorithms, and automated workflows.



Documents installation and maintenance procedures, performs testing and debugging, and defines and monitors performance metrics. Demonstrates strong knowledge of HPE support processes, including case management, RMA handling, incident management, SLA compliance, escalation management, and case closure.

Leverages this expertise to identify opportunities where AI and automation can reduce manual effort, accelerate response times, proactively identify issues, streamline support workflows, and enhance customer experience.

Management Level Definition: An experienced individual contributor who applies strong subject matter expertise across HPE Networking, support operations, and AI-driven solutions. Regarded as a go-to technical resource within the team. Works independently with minimal direction, exercises valuable judgment in deciding how to approach and solve problems, and actively contributes to improving team standards and ways of working.

What you'll do: 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 that 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.

What you need to bring: Bachelor's or master's degree in computer science, engineering, information technology, networking, or a closely related discipline. Typically 7–10 years of experience in network engineering, support operations, AI and machine learning, or a related technical field. Possesses 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, and Aruba ClearPass, Aruba Central, Silver Peak, and other HPE Networking products.

Additional Skills: 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, Security-First Mindset, Full Stack Development

📌 Networking Ai Engineer (Bengaluru)
🏢 Peoplestrong
📍 Bengaluru