Private Cloud AI Customer Engineer

Private Cloud AI Customer Engineer

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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:

   

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 in sales, presales, service, and support functions. Together with our partners, we deliver global, commercial, public sector & small/medium business customers throughout 11 geographies. We’re transforming businesses. Join us redefine what’s next for you.

What you’ll do:

Customer Onboarding

• 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.

Customer Engagement

• 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.

Use Case Adoption

• 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.

Collaboration and Coordination

• 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.

Customer Success

• 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.

What you need to bring:

• 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 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)

• Minimum 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 an