Networking AI Engineer

Networking AI Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

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 good judgment in deciding how to approach and solve problems, and actively contributes to improving team standards and ways of working.

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