Networking (Aruba) Solution Architect - AI/ML

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. 

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  Works hands-on with HPE Networking products including Juniper, Aruba, and related technologies.

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  Supports network operations by analyzing and structuring both structured and unstructured data to generate actionable insights.

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  Applies machine learning, statistical modeling, AI, and automation techniques to improve support operations, data quality, operational accuracy, and customer outcomes.

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

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  Documents installation and maintenance procedures, performs testing and debugging, and defines and monitors performance metrics. 

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  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. 

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  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. 

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  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. 

• 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. 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. 

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.

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.

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.

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.

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.