Private Cloud AI Customer Engineer

Private Cloud AI Customer Engineer – Hewlett Packard EnterpriseEs posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.Join us as a Private Cloud AI Customer Engineer atHewlett Packard Enterprise . This hybrid role expects you to work on average 2 days per week from a HPE office.Hewlett Packard Enterprise is the global edge‑to‑cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data from edge to cloud, enabling them to turn insights into outcomes at the speed required to thrive in today’s complex world.Our culture thrives on finding new and better ways to accelerate what’s next. We value varied backgrounds and make bold moves together, handling flexibility to manage work and personal needs.Job DescriptionGlobal Sales at HPE is about building the future. Our sales organization consists of 10,000+ professionals in sales, presales, service, and support functions, delivering global, commercial, public sector, and small/medium business customers throughout 11 geographies. We’re transforming businesses and redefining what’s next for you.What You’ll DoCustomer OnboardingAssist 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 EngagementSchedule 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 AdoptionGuide 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 CoordinationCollaborate 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 SuccessMonitor 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 BringTechnical stack:KubernetesPythonKubeflowAirflowML Ops toolsNVIDIA AI EnterpriseYour past experience:Python (hands on with data science libraries preferred)LinuxKubernetesDocker (including repositories, creating container images, etc.)HelmAuthN/AuthZ (including SSO)LangChain, Lang Flow, N8N, LlamaIndex, vLLMRAG ArchitectureStorage (object, file)LLMOpsVector DBsEnterprise AI solutions and techniques (Virtual assistants, Q&A chatbots, summarization, RAG, etc.)Minimum requirements:Should be flexible to work in US time zone.4+ years of experience in customer‑facing AI/ML roles preferred.Project Management: Demonstrated expertise in managing multiple complex projects simultaneously.Customer Service: Strong orientation, delivering exceptional support.Technical Troubleshooting and Problem Resolution: Strong analytical and problem‑solving skills.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.Additional SkillsCloud 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 Can Offer YouHealth & Well‑beingWe 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 DevelopmentWe also invest in your career because the better you are, the better we all are. We have specific programs to help 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 InclusionWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. Our culture values varied backgrounds and we are flexible to manage work and personal needs, making bold moves together.Equal Employment OpportunityHPE is an Equal Employment Opportunity/ Veterans/ Disabled/ LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions are made on the basis of qualifications, merit, and business need. HPE will comply with all applicable laws related to employer use of arrest and conviction records.No Fees Notice & Recruitment Fraud DisclaimerHewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with recruitment and hiring. xcskxlj Any claims of fees are fraud; candidates should verify agencies before share personal information.#J-18808-Ljbffr