
Private Cloud AI Customer Engineer
Hewlett Packard Enterprise
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Florida, Illinois, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $120,500 - $276,500 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowCloudKubernetesLinuxNoSQLPythonRayRDBMSSparkSQL
About the role
- Customer Onboarding: 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 the first three months post-purchase
- Conduct informal product training sessions
- Customer Engagement: track progress and provide updates through regular calls
- Primary point of contact for customers during onboarding
- Use Case Adoption: provide technical expertise for customers’ first use case
- Collaboration and Coordination: collaborate with internal teams to ensure customer success
- Customer Success: monitor customer progress and provide proactive support
Requirements
- Experience with technical stack: Kubernetes, Python, S3, Presto, Airflow, Superset, Spark, Livy, Kubeflow, MLflow, Ray, MLIS, Feast, and NVIDIA AI Enterprise
- 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)
- 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: managing multiple complex projects simultaneously
- Customer Service: strong customer service orientation
- Technical Troubleshooting and Problem Resolution: strong analytical skills
- Communication: excellent verbal and written skills
- Collaboration: teamwork skills
- Empathy: understanding and empathizing with customer challenges
- Proactive Approach: initiative to anticipate customer needs
- Attention to Detail: keen attention for accurate support
Benefits
- Health & Wellbeing: comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
- Personal & Professional Development: specific programs for career goals
- Unconditional Inclusion: celebrating individual uniqueness and flexibility to manage work and personal needs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
KubernetesPythonS3PrestoAirflowSupersetSparkMLflowSQLNoSQL
Soft skills
customer serviceanalytical skillscommunicationteamworkempathyproactive approachattention to detail