Networking AI Engineer

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

Who We Are:

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.

Job Description:

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. 

Job Description: 

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. 

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 

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

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Job:

Engineering

Job Level:

TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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