Openkyber
AI Platform Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Platform Architect on a W2 contract for up to 1 year, remote in the US. Requires expertise in Data Science, GenAI, LLMOps, MLOps, and Python, with experience in AI architectural design and cloud-based strategies.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Georgia
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Scala #Logical Data Model #Python #NLP (Natural Language Processing) #Cloud #Infrastructure as Code (IaC) #SageMaker #Data Science
Role description
Role: AI Enterprise Architect Remote (US)
Job Type: W2 Contract
Length: up to 1 year
Note: Visa Independent candidates are required
Must have: Data Science GenAI Tech Stack LLMOps MLOps Python
Job Description:
Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and completely familiar with AI lifecycles. Hands on experience coding in Python, IaC, etc
For applications and inquiries, contact: hirings@openkyber.com
Role: AI Enterprise Architect Remote (US)
Job Type: W2 Contract
Length: up to 1 year
Note: Visa Independent candidates are required
Must have: Data Science GenAI Tech Stack LLMOps MLOps Python
Job Description:
Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and completely familiar with AI lifecycles. Hands on experience coding in Python, IaC, etc
For applications and inquiries, contact: hirings@openkyber.com
