Private Cloud AI Customer Engineer

Private Cloud AI Customer Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

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.

About the Role

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.

Why Join Us

You are a curious technologist who loves cutting edge software. In your past roles, you have enjoyed working directly with enterprise customers. You have experimented with and deployed various AI tools and are now looking to explore real customer AI use cases. You are excited by problem solving and finding creative solutions to novel challenges. You want to work in a collaborative environment where your contributions make a direct impact on customer success and product adoption.

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 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.

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)

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.

#india#sales

Job:

Engineering

Job Level:

TCP_03

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.