Private Cloud AI Customer Engineer at Hewlett Packard Enterprise

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, AIIndustries

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, 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 skills

Responsibilities

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

Skills

Key technologies and capabilities for this role

Private Cloud AICustomer OnboardingProject ManagementProduct TrainingCustomer EngagementHands-on Support

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

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

What technical skills are required for this role?

The position requires knowledge of our technical stack including Kubernetes, Python, S3, Presto, Airflow, Superset, Spark, Livy, Kubeflow, and ML.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at HPE?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports career growth.

What makes a strong candidate for this Customer Engineer role?

Strong candidates should have expertise in the technical stack like Kubernetes, Python, and ML tools, along with customer-facing skills for onboarding, project management, and collaboration with internal teams.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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