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Private Cloud Ai Customer Engineer

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Hewlett Packard Enterprise

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Location:
United States of America , Texas

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

120500.00 - 276500.00 USD / Year
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Job Description:

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 will be to assist customers with hands-on support during the first three months post-purchase. You will guide customers through the initial adoption of their first use case, providing informal product training, and conducting regular cadence calls with customers and internal stakeholders. You will coordinate with multiple teams to ensure the customer receives early value from the product, ensuring success and contract renewals

Job Responsibility:

  • 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 risks and ensure a successful onboarding experience.
  • Track customer satisfaction and feedback, and work with internal teams to continuously improve the onboarding process.

Requirements:

  • Project Management: Demonstrated expertise in managing multiple complex projects simultaneously, with a proven track record of prioritizing tasks and meeting deadlines efficiently and effectively.
  • Customer Service: Strong customer service orientation, with a focus on delivering exceptional support.
  • Technical Troubleshooting and Problem Resolution: Strong analytical and problem-solving skills to quickly identify issues, and work with support team to resolve.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts clearly.
  • Collaboration: Strong teamwork skills and the ability to work collaboratively with cross-functional teams.
  • Empathy: Ability to understand and empathize with customer challenges and provide supportive solutions.
  • Proactive Approach: Initiative to anticipate customer needs and address potential issues before they arise.
  • Attention to Detail: Keen attention to detail to ensure accurate and thorough support and documentation.
  • Python (hands on with data science libraries preferred)
  • Linux
  • Kubernetes (GPU Scheduling)
  • Containerization (Including repositories, creating container images, etc)
  • Helm
  • AuthN/AuthZ (including SSO)
  • LangChain, LlamaIndex, vLLM
  • RAG Pipelines
  • Storage (object, file)
  • Big Data (structured vs unstructured) and storage solutions (data warehouses, lakes, distributed file systems)
  • Relational Database Management System (RDBMS)
  • SQL and NoSQL
  • NLP (and its limitations)
  • LLMOps
  • Vector DBs
  • Enterprise AI solutions and techniques (Virtual assistants, Q&A chatbots, summarization, RAG, etc)

Nice to have:

  • Cloud Architectures
  • Cross Domain Knowledge
  • Design Thinking
  • Development Fundamentals
  • DevOps
  • Distributed Computing
  • Microservices Fluency
  • Full Stack Development
  • Security-First Mindset
  • Solutions Design
  • Testing & Automation
  • User Experience (UX)
What we offer:
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal & Professional Development programs
  • Unconditional Inclusion

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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