Cloud Solutions Architect

5 days ago


Little Rock, Arkansas, United States Intel Full time
Job Description

Are you passionate about innovating cloud technologies and shaping the future of computing?

We are seeking a highly skilled Cloud Solution Engineer to join our team at Intel, where you will have the opportunity to design and implement cutting-edge cloud solutions that optimize the capabilities of Intel hardware for AI-driven applications.

Key Responsibilities
  • Design and implement cloud solutions that leverage Intel technologies and Gaudi AI accelerators or GPU, with a focus on large language models (LLMs).
  • Work closely with AI researchers and developers to understand their cloud infrastructure needs for LLM development and deployment.
  • Keep up-to-date with advancements in LLMs, including training techniques, optimization, and deployment in cloud environments.
  • Integrate Intel's development tools and libraries to support the development and scaling of LLMs in the cloud.
  • Advocate for the Intel Developer Cloud services and the use of Gaudi AI accelerators through technical discussions and developer support.
  • Provide technical leadership and mentorship within project teams, promoting best practices in cloud architecture and AI.
  • Analyze emerging trends in cloud computing and AI, especially LLMs, to guide the development of Intel Developer Cloud services.
  • Provide a White Glove support service experience to customers.
  • Work effectively with Site Reliability Engineering to drive requirements for monitoring and alerting to meet service uptime requirements.
Requirements
  • Bachelor's degree in Electrical/Computer Engineering or Computer Science and 6+ years of experience -OR- a Master's degree in Electrical/Computer Engineering or Computer Science and 4+ years of experience -OR- a PhD in Electrical/Computer Engineering or Computer Science and 2+ years of experience in cloud or cluster computing infrastructure, hands-on debugging of live production systems, cloud architecture, AI performance engineering, or related fields.
  • Experience with Intel hardware and software, including Gaudi AI accelerators, and familiarity with LLMs.
  • Knowledge of current LLM frameworks and tools, and their implementation in cloud platforms.
  • Proficiency in cloud service models, virtualization, container orchestration, and cloud-native technologies.
  • Skilled in scripting, automation, and Infrastructure as Code (IaC) tools.
  • Excellent communication skills and the ability to work collaboratively within a team environment.
Preferred Qualifications
  • 5+ years on customer-facing solution engineering related functions.
  • 3+ years on systematically optimizing workloads in the large cluster infrastructure.
  • Relevant certifications in cloud computing, AI, or machine learning are desirable.

We offer a total compensation package that ranks among the best in the industry, including competitive pay, stock, bonuses, and benefit programs which include health, retirement, and vacation.

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need.



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