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Rackspace Logo Rackspace · IT - Software Development

AI/ML Architect

Vietnam · Job Posted January 05, 2026
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Job Description

We are on the lookout for a seasoned AI/ML Architect to enhance our talented team. The role demands an individual with significant expertise in both traditional Machine Learning & newer Artificial Intelligence engineering and infrastructure, with an emphasis on Generative AI based systems. A thorough knowledge of public cloud platforms, specifically AWS, is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.

Job Responsibility

  • Develop and implement automation and DevOps methodologies, including CI/CD, Infrastructure as Code (IaC), and containerization, to establish a scalable Machine Learning and Artificial Intelligence infrastructure
  • Design and execute automation strategies, encompassing DevOps pipelines, scripting, and Terraform-based Infrastructure as Code
  • Engage actively in client sessions to understand and address their needs
  • Prepare and maintain detailed technical documentation

Requirements

  • Experienced with machine learning frameworks(TensorFlow, PyTorch) and libraries (e.g., scikit-learn)
  • Proven hands-on experience with generative AI architectures, including design, training, and customization for LLM in text-to-text, image-to-text, and/or text-to-image projects
  • Implement and customize generative AI architectures and approaches such as finetuning transformer based LLMs using PEFT methods like LoRA, QLoRAetc
  • Expertise in public cloud services, particularly in AWS
  • Experienced working with Sagemaker, Bedrock and other AWS AI and Machine learning services
  • Experience with AWS managed services and understanding of cloud-based messaging/stream processing systems are critical
  • AWS/ Azure Cloud Professional level certification in AI/ML, Architecture and Data
  • 10+ years of experience in customer-facing software/technology or consulting
  • 5+ years of experience with “on-premises to cloud” migrations or IT transformations
  • 5+ years of experience building, and operating solutions built on AWS (ideally) or Azure/GCP
  • Technical degree: Computer Science, software engineering or related
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