RRemoteville
Intel Corporation logoIntel Corporation

Cloud Solutions Architect

Skills
Computer ScienceAnalytical SkillsArchitectureDemosOralPost-SalesPresales
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Minimum 10 years in customer-facing pre/post sales or field applications engineering with a focus on cloud solutions.
  • BS or MS in Engineering, Computer Science, Mathematics, or Physics required.
  • Expertise in Deep Learning and Machine Learning frameworks such as TensorFlow or PyTorch.
  • Track record in AI/MLOps GPU accelerated solutions in cloud environments like AWS, GCP, Aure and OCI.
  • Proficiency in Docker/Containers, Kubernetes, Python, C/C++, Bash, and Linux.
  • Ability to travel up to 25 percent for customer engagements.

Nice to have

  • Docker
  • TensorFlow
  • ML Engineering
  • Kubernetes

Day to day

  • Influences and drives adoption of Intel-based solutions for various cloud infrastructures.
  • Develops and executes strategic initiatives to enhance Intel's market presence in cloud computing.
  • Cultivates relationships with key stakeholders including global CSPs and enterprise clients.
  • Works with customers and partners to build and deploy AI/ML solutions at scale.
  • Participates in technical engagements to optimize solutions across compute, network, and storage domains.
  • Creates customer success stories and documents best practices for industry-wide adoption.