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13 дней назад

Distinguished Technologist, Private Cloud AI - Applied & Agentic AI

170 000 - 412 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Distinguished Technologist, Private Cloud AI - Applied & Agentic AI (Generative AI/Agentic AI): Designing and advancing applied and agentic AI capabilities for HPE GreenLake private and hybrid cloud with an accent on foundation models, multi-agent systems, LLMOps, AI security, governance, and observability. Focus on building production-grade AI platforms, optimizing large-scale distributed systems, and defining trustworthy architectures across engineering, product, and customer organizations.

Location: Hybrid, with an average of 2 days per week in an HPE office

Salary: USD 179,500–358,500 in Colorado; USD 194,000–388,000 in Massachusetts; USD 194,000–412,500 in California; USD 170,000–412,500 in North Carolina and Texas per year. Variable incentives may also be offered.

Company

hirify.global develops edge-to-cloud and private cloud solutions through HPE GreenLake, helping organizations run secure, scalable infrastructure and applications.

What you will do

  • Lead AI architecture and technical design workshops for applied and agentic AI in private and hybrid cloud environments.
  • Define architectures covering models, runtimes, knowledge and semantic layers, security, governance, and observability.
  • Evaluate partner technologies, develop total-cost and roadmap options, and drive architectural decisions for AI products and customer solutions.
  • Build reusable AI components and agents and help engineering teams take proofs of concept into scalable production services.
  • Optimize AI systems for performance, cost efficiency, reliability, and trustworthiness.
  • Create technical content and mentor senior engineers and architects across engineering, applied science, and field organizations.

Requirements

  • Bachelor’s degree in computer science or a related field.
  • At least 15 years of progressive technical leadership and architecture experience.
  • At least 2 years designing and implementing production-scale agentic AI and generative AI solutions and shared AI platforms.
  • At least 5 years designing, engineering, and operating large-scale AI/ML solutions on a major public cloud platform.
  • Hands-on expertise with foundation models, LLMs, RAG pipelines, multi-agent systems, tool-using agents, knowledge graphs, model fine-tuning, distillation, and alignment.
  • Strong knowledge of cloud-native architectures, containers, microservices, Kubernetes, service meshes, hybrid/private cloud, AI security, governance, and observability.

Culture & Benefits

  • Health, financial, and emotional wellbeing benefits are available.
  • Professional development programs support career growth and knowledge specialization.
  • Work takes place in a global, distributed, and cross-functional environment.
  • An inclusive workplace values varied backgrounds and individual uniqueness.

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