Senior Technologist, Private Cloud AI & Agentic Systems

Hewlett Packard Enterprise

San Jose (CA)

Hybrid

USD 194,000 - 413,000

Full time

6 hours ago
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Benefits offered by this job

Health benefits
Career development

Job summary

Hewlett Packard Enterprise seeks a Distinguished Technologist for Private Cloud AI to define and deliver the future of AI across PCAI offerings. You will lead hands-on architectural work, design multi-agent and LLMOps blueprints, and guide scalable AI systems while mentoring engineers and collaborating with cross‑functional teams in a hybrid cloud environment.

The role emphasizes cloud-native architectures, governance, security, observability, and delivering production-grade AI platforms with

Qualifications

  • Bachelor's degree in computer science or a relevant field is required.
  • 15+ years of progressive technical leadership and architectural experience.
  • 2+ years designing and implementing scaled Agentic AI and Generative AI solutions in production.
  • 5+ years designing, engineering, and operationalizing large-scale AI/ML on public cloud.

Responsibilities

  • Lead AI architecture and design workshops to shape PCAI’s AI strategy.
  • Define customer-ready AI architectures for private and hybrid cloud.
  • Build reusable AI components and guide POC to production-scale services.
  • Mentor senior engineers and architects across engineering, applied science, and field organizations.

Skills

Technical leadership
AI/ML knowledge
Distributed systems
Cloud architecture
LLMs & AI safety

Education

Bachelor's degree in computer science or relevant field

Tools

Kubernetes
AI platforms

Job description

Hewlett Packard Enterprise seeks a Distinguished Technologist for Private Cloud AI to define and deliver the future of AI across PCAI offerings. You will lead hands-on architectural work, design multi-agent and LLMOps blueprints, and guide scalable AI systems while mentoring engineers and collaborating with cross‑functional teams in a hybrid cloud environment.

The role emphasizes cloud-native architectures, governance, security, observability, and delivering production-grade AI platforms with

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