Private Cloud AI Customer Engineer

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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 quickly and effectively. Our culture thrives on finding new and better ways to accelerate what’s next. We value diverse backgrounds and provide flexibility to manage work and personal needs.

Together we make bold moves and are a force for good.

Global Sales at HPE is about building the future. We are redefining what’s next and combining our legacy of innovation with a bold new goal to accelerate everything we do. Our sales organization is comprised of 10,000+ professionals across sales, presales, service, and support functions. We deliver global, commercial, public sector & small‑/medium‑business customers throughout 11 geographies. As a Private Cloud AI PCAI Customer Engineer, you will be a crucial member of our technical and customer‑facing team, supporting the HPE Private Cloud AI PCAI product.

Your primary responsibility is to assist customers with hands‑on support during the first three months post‑purchase, guiding them through the initial adoption of their first use case, providing informal product training, and conducting regular cadence calls.

• Assist customers in the initial adoption of the HPE PCAI Private Cloud AI product.
• Project manage the customer and use case.
• Provide hands‑on support and guidance during the first three months post‑purchase.
• Conduct informal product training sessions to help customers understand and utilize the product effectively.

• Schedule and conduct regular cadence calls with customers to track progress, address concerns, and provide updates.
• Serve as the primary point of contact for customers during the onboarding phase, ensuring a smooth and positive experience.

• Guide customers through the initial adoption of their first use case, providing technical expertise and best practices.
• Work closely with customers to understand their specific requirements and tailor support accordingly.

• Collaborate with internal teams, including Sales, Product Management, and Technical Support, to ensure customer success.
• Coordinate with multiple stakeholders to address customer needs, resolve issues, and ensure timely delivery of solutions.

• Monitor customer progress and provide proactive support to ensure early value realization from the product.
• Identify potential challenges and work with customers to mitigate risk and ensure a successful onboarding experience.
• Track customer satisfaction and feedback, and work with internal teams to continuously improve the onboarding process.

• Our technical stack
  • Kubernetes, Python, S3, Presto, Airflow, Superset, Spark, Livy, Kubeflow, MLflow, Ray, MLIS, Feast, NVIDIA AI Enterprise
• Your past experience
  • Python (hands‑on with data science libraries)
  • Linux, Kubernetes (GPU Scheduling), Containerization, Helm
  • AuthN/AuthZ (including SSO), Lang Chain, Llama Index, vLLM
  • RAG Pipelines, Storage (object, file), Big Data & storage solutions
  • Relational & No
    
    SQL databases, SQL, NLP, LLMOps, Vector DBs
  • Enterprise AI solutions and techniques (Virtual assistants, Q&A chatbots, summarization, RAG, etc.)
• Minimum requirements
  • Project Management:
    Experience managing multiple complex projects with clear prioritization.
  • Customer Service:
    Strong orientation to delivering exceptional support.
  • Technical Troubleshooting:
    Analytical and problem‑solving skills for quick issue resolution.
  • Communication:
    Excellent verbal and written skills, able to explain complex concepts clearly.
  • Collaboration:
    
    Teamwork skills and ability to work across functions.
  • Empathy:
    Understanding of customer challenges to provide supportive solutions.
  • Proactive Approach:
    Initiative to anticipate customer needs and address issues before they arise.
  • Attention to Detail:
    Careful documentation and support accuracy.

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