About The Position

We are looking for a seasoned architect with hands-on experience designing and implementing enterprise-scale AI platforms.

Requirements

  • Expertise in end-to-end enterprise ML platform architecture, including multi-cloud environments
  • Strong knowledge of data and compute separation and integration patterns
  • Comprehensive understanding of the Model Development Lifecycle (MDLC)
  • Experience with data protection strategies (data at rest and in transit)
  • Deep understanding of security, technology, and data governance controls
  • Strong expertise in Kubernetes, including OpenShift (OCP) and GKE
  • Proven hands-on experience building enterprise ML platforms
  • Experience with agentic AI solutions and modern development approaches (e.g., rapid prototyping / “vibe coding”)
  • Excellent communication and executive presentation skills

Responsibilities

  • Designing and implementing enterprise-scale AI platforms.
  • Building enterprise ML platforms.

Benefits

  • Medical benefits
  • Vision benefits
  • Dental benefits
  • 401k retirement plan
  • Variable pay/incentives
  • Paid time off
  • Paid holidays
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