Private Cloud AI Customer Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
India, Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Private Cloud AI Customer Engineer role at Hewlett Packard Enterprise focused on helping customers adopt HPE PCAI Private Cloud AI product through onboarding support, technical guidance, and customer success management.

Job Responsibility:

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
Customer Engagement: Schedule and conduct regular cadence calls with customers
Serve as the primary point of contact for customers during the onboarding phase
Use Case Adoption: Guide customers through the initial adoption of their first use case
Work closely with customers to understand their specific requirements
Collaboration and Coordination: Collaborate with internal teams including Sales, Product Management, and Technical Support
Coordinate with multiple stakeholders to address customer needs
Customer Success: Monitor customer progress and provide proactive support
Identify potential challenges and work with customers to mitigate risks
Track customer satisfaction and feedback

Requirements:

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)
Project Management: Demonstrated expertise in managing multiple complex projects simultaneously
Customer Service: Strong customer service orientation
Technical Troubleshooting and Problem Resolution: Strong analytical and problem-solving skills
Communication: Excellent verbal and written communication skills
Collaboration: Strong teamwork skills and the ability to work collaboratively with cross-functional teams
Empathy: Ability to understand and empathize with customer challenges
Proactive Approach: Initiative to anticipate customer needs
Attention to Detail: Keen attention to detail

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:

Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & Professional Development: specific programs catered to helping you reach career goals
Unconditional Inclusion: inclusive work environment that celebrates individual uniqueness
Flexibility to manage work and personal needs

Additional Information:

Job Posted:
November 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Private Cloud AI Customer Engineer