About the role
We are looking for a seasoned architect with hands-on experience designing and implementing enterprise-scale AI platforms. Key qualifications include:
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Expertise in end-to-end enterprise ML platform architecture, including multi-cloud environments
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Strong knowledge of data and compute separation and integration patterns
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Comprehensive understanding of the Model Development Lifecycle (MDLC)
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Experience with data protection strategies (data at rest and in transit)
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Deep understanding of security, technology, and data governance controls
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Strong expertise in Kubernetes, including OpenShift (OCP) and GKE
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Proven hands-on experience building enterprise ML platforms
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Experience with agentic AI solutions and modern development approaches (e.g., rapid prototyping / “vibe coding”)
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Excellent communication and executive presentation skills
Compensation, Benefits and Duration
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
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