13 дней назад
Distinguished Technologist, Private Cloud AI - Applied & Agentic AI
170 000 - 412 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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