Private Cloud AI Customer Engineer

Job not on LinkedIn

October 14

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

+2 more states

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🤠 Texas – Remote

💵 $103.4k - $237k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🛠️ Implementation Specialist

🦅 H1B Visa Sponsor

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Hewlett Packard Enterprise

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Enterprise • Hardware • SaaS

Hewlett Packard Enterprise is a global technology leader providing innovative IT solutions to empower businesses. HPE offers a comprehensive portfolio of products and services, including the HPE GreenLake edge-to-cloud platform, which delivers a hybrid cloud experience enabling businesses to manage workloads across private and public clouds seamlessly. Additionally, the company specializes in supercomputing, networking, and storage solutions, along with AI and data analytics capabilities to drive productivity and operational efficiency. HPE is committed to helping organizations enhance their digital transformations while securing data and optimizing IT infrastructure.

10,000+ employees

Founded 2015

🏢 Enterprise

🔧 Hardware

☁️ SaaS

📋 Description

• Assist customers in initial adoption of HPE PCAI Private Cloud AI product. • Project manage customer and use case. • Provide hands-on support and guidance during first three months post-purchase. • Conduct informal product training sessions. • Schedule and conduct regular cadence calls with customers to track progress. • Serve as the primary point of contact for customers during onboarding phase. • Guide customers through initial adoption of first use case. • Collaborate with internal teams to ensure customer success. • Monitor customer progress and provide proactive support to ensure early value realization.

🎯 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, with a focus on delivering exceptional support. • Technical Troubleshooting and Problem Resolution: Strong analytical and problem-solving skills. • Communication: Excellent verbal and written communication skills. • Collaboration: Strong teamwork skills. • Empathy: Ability to understand customer challenges and provide supportive solutions. • Proactive Approach: Initiative to anticipate customer needs. • Attention to Detail: Keen attention to detail.

🏖️ Benefits

• Health & Wellbeing: comprehensive suite of benefits supporting physical, financial and emotional wellbeing. • Personal & Professional Development: specific programs catered to helping you reach your career goals. • Unconditional Inclusion: celebrating individual uniqueness with flexibility in managing work and personal needs.