Senior Data Engineer, Cloud & Analytics
ADEAL Systems GmbH
Build cloud, data, and analytics solutions for ADEAL Systems, taking technical ownership of architecture, data pipelines, and customer projects.
खोलें
Hewlett Packard Enterprise हाइब्रिड क्लाउड और AI-संचालित संचालन चलाने वाले संगठनों के लिए एंटरप्राइज़ तकनीक विकसित करता है। इसके पोर्टफोलियो में HPE ProLiant सर्वर और HPE Cray हाई-परफॉर्मेंस कंप्यूटिंग, HPE Alletra स्टोरेज, HPE Aruba नेटवर्किंग, AI प्लेटफ़ॉर्म और तैयार AI फ़ैक्ट्रियाँ, तथा सेवा के रूप में GreenLake समाधान शामिल हैं। HPE Zero Trust और SASE जैसी सुरक्षा क्षमताएँ भी प्रदान करता है, साथ ही पेशेवर, सलाहकारी और सहायता सेवाएँ देता है, जो बड़े संगठनों को अपने बुनियादी ढाँचे को आधुनिक बनाने, डेटा सेंटर परिवेशों का प्रबंधन करने और बड़े पैमाने पर AI लागू करने में मदद करती हैं।
AI Value Architect – Private Cloud AI (Hybrid, Spain)
Lead customer adoption, value realization, and growth for HPE Private Cloud AI accounts. Shape enterprise GenAI use cases, architectures, and commercial opportunities.
विवरण
- Manage post-deployment value, adoption, and expansion for a portfolio of strategic HPE Private Cloud AI customers
- Increase adoption, realized value, and expansion across customer business units
- Identify and develop AI, GenAI, and agentic AI use cases
- Advise on architectures for inference, RAG, AI agents, model serving, fine-tuning, data pipelines, observability, governance, and security
- Promote Private Cloud AI within customer organizations and support technical and business champions
- Conduct quarterly value, adoption, and roadmap reviews with customer stakeholders and HPE account teams
- Lead reviews focused on measurable business and technical outcomes
- Organize and lead onsite customer engagements, including frequent LASER travel and occasional worldwide travel
- Track account plans, actions, risks, value hypotheses, and expansion indicators
- Find, qualify, and technically develop expansion opportunities
- Facilitate roadmap, architecture, scaling, and adoption workshops
- Develop technical and commercial value cases before transferring validated opportunities to Sales
- Collaborate with Sales, Pre-Sales, Partners, Forward Deployed Engineering, Product, and Support teams
- Create reusable workshops, discovery materials, assessment tools, reference architectures, and proof patterns
- Establish the operating model, templates, metrics, and governance for a global AI value and expansion program
- Document field insights and continuously refine the global playbook
आवश्यकताएँ
- Deep practical knowledge of enterprise AI and GenAI architectures, including LLM inference, RAG, vector databases, AI agents, model endpoints, evaluation, guardrails, and LLMOps/MLOps
- Familiarity with, and initial experience using, agent harnesses such as OpenClaw, NemoClaw, Hermes, and OpenCode
- Experience designing or deploying production AI solutions with Python, Linux, containers, Kubernetes, Helm, APIs, identity and access controls, and object or file storage
- Knowledge of data engineering and machine learning platforms including Airflow, Kubeflow, MLflow, Ray, model-serving frameworks, and observability tools
- Practical understanding of GPUs, power, cooling, and networking
- Ability to connect customer outcomes and data readiness with application architecture, platform sizing, security, operations, and scale
- Experience with NVIDIA AI Enterprise, HPE Private Cloud AI, or comparable enterprise AI platforms is strongly preferred
- Proven success in a customer-facing technical sales or advisory position
- Ability to explain complex AI technologies in terms of business value and lead workshops for technical and executive audiences
- Strong commercial curiosity and sound judgment
- Strong program and account management capabilities across multiple strategic customers
- Excellent written and spoken English communication skills
- Willingness and ability to travel frequently for onsite customer engagements across LASER, with occasional international travel
- Comfort creating new programs, assets, and processes in ambiguous, startup-style environments
लाभ
- Comprehensive benefits designed to support physical, financial, and emotional wellbeing
- Programs supporting personal and professional growth
- Flexible arrangements that accommodate work and personal needs
- Inclusive workplace environment
- Disability accommodations available during the application or interview process
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