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Cloud AI Principal Architect

2 months ago

Charlotte, North Carolina, United States E-Solutions Full time
About the Role

E-Solutions is seeking a highly skilled Cloud AI Principal Architect to lead our cloud-based AI initiatives. As a key member of our engineering team, you will be responsible for designing and implementing scalable, secure, and cost-effective cloud architecture for our AI platform.

Key Responsibilities
  • Design and implement cloud architecture for AI platform, ensuring scalability, security, and cost-effectiveness
  • Develop and maintain cloud strategy, including adoption plans and migration strategies
  • Assess existing infrastructure and recommend improvements, upgrades, and optimizations for the AI cloud platform
  • Collaborate with cross-functional engineering teams to define and enable critical cloud services for AI platform
  • Evaluate and recommend cloud services and technologies based on organizational requirements and industry trends
  • Lead cloud migration projects, including planning, execution, and post-migration support
  • Provide guidance and mentorship to development teams on cloud architecture principles and best practices
Requirements
  • 3+ years of experience with Azure and/or Google Cloud
  • 3+ years of experience with Kubernetes (OpenShift/GKE/AKS)
  • 3+ years of experience with Cloud Storage and Cloud Data warehouse services (GCS/BigQuery)
  • Advanced knowledge of AI cloud services (Vertex AI or AzureML)
  • Experience with Big Data and engineering using industry tools (e.g. Apache Spark)
  • Experience with enterprise migrations (e.g. application, data, infrastructure)
  • Strong understanding of cloud architecture principles including compute, storage, and networking services
  • Experience with advanced cloud services including ML, big data, and serverless computing
  • Extensive experience with major cloud platforms such as AWS, Azure, and GCP
  • Experience leading cloud project planning such as design, deployment, and migration
  • Hands-on experience with Infrastructure-as-Code (IaC)
  • Experience with advanced cloud services including ML, big data, and serverless computing
  • Strong knowledge of containerization and orchestration technologies (docker and Kubernetes)
  • Familiarity with cloud cost management and optimization techniques
Preferred Skills
  • Experience with cloud-based AI platforms and services
  • Knowledge of cloud security and compliance frameworks
  • Experience with DevOps practices and tools
  • Strong communication and collaboration skills