Distinguished Technologist, Private Cloud Ai

HPE (Hewlett Packard Enterprise)

Multiple Locations, , US
Base: usd 170,000 - 412,500 depending on location;...
Hybrid
Private cloud ai architecture
Generative and agentic ai solutions
Large-scale ai/ml solution deployment
Hewlett Packard Enterprise is a global edge-to-cloud company advancing how people live and work by delivering private cloud AI solutions with agility and security

Job Summary

  • Hewlett Packard Enterprise is a global edge-to-cloud company advancing how people live and work by delivering private cloud AI solutions with agility and security.
  • The role involves hands-on senior architect leadership to define and deliver AI strategies, architectures, and scalable production-grade AI services for private and hybrid cloud offerings.
  • HPE offers comprehensive benefits supporting physical, financial, and emotional wellbeing, along with career development programs and an inclusive culture valuing diverse backgrounds.

Matching Summary

Hewlett Packard Enterprise is a global edge-to-cloud company advancing how people live and work by delivering private cloud AI solutions with agility and security.

Salary

Base: USD 170,000 - 412,500 depending on location; Bonus/Equity: Variable incentives may be offered; Benefits: Comprehensive health and wellbeing benefits

Skills & Requirements

Must-have

  • Private cloud AI architecture
  • Generative and agentic AI solutions
  • Large-scale AI/ML solution deployment
  • Cloud-native AI services and frameworks
  • AI security and governance implementation
  • Hybrid cloud infrastructure
  • Technical leadership in AI

Nice-to-have

  • Cross-functional collaboration
  • Mentorship of senior engineers
  • Design thinking
  • Security-first mindset
  • User experience (UX)
  • Development fundamentals
  • DevOps and microservices fluency

Key Requirements

  • Bachelor's degree in computer science or relevant field
  • 15+ years technical leadership experience
  • 2+ years designing scaled agentic and generative AI solutions
  • 5+ years operationalizing large-scale AI/ML on public cloud
  • Expert-level knowledge of AI technologies and platforms
  • Experience with cloud-native architectures and hybrid cloud
  • Strong communication and leadership skills

Work Rights

Not specified

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