{"schemaVersion":"jobsearcher.job.v1","id":"eb208b0c80c33aff1929b2ab","url":"https://jobsearcher.com/jobs/eb208b0c80c33aff1929b2ab","canonicalUrl":"https://jobsearcher.com/jobs/eb208b0c80c33aff1929b2ab","title":"AI Engineering Platform Architect","description":"Job Title: AI Engineering Platform Architect\nLocation: San Francisco, CA (Onsite)\nDuration: Full Time\nWhat is in it for you?\nAs an AI Engineering Platform Architect you will be responsible for designing, developing, and maintaining an advanced technology platform on AWS that enables data scientists to perform AI and ML experiments on imaging data. The ideal candidate will have extensive experience with AWS services, strong architectural skills, and a deep understanding of the unique needs of AI and ML research and development.\nResponsibilities : -\nDesign and architect a scalable, secure, and efficient technology platform on AWS tailored for AI and ML experiments.\nCollaborate with data scientists, researchers, and other stakeholders to understand their requirements and translate them into technical solutions.\nDevelop and implement best practices for managing and processing imaging data in the cloud.\nIntegrate machine learning frameworks and tools into the AWS platform to facilitate seamless experimentation and development.\nOptimize the platform for performance, cost, and scalability.\nMaintain documentation of the architecture, configurations, and best practices.\nStay updated with the latest AWS services and features and integrate them into the platform as needed.\nProvide guidance and mentorship to other engineers and team members on the use of the platform and best practices in AWS.\nRequirement (Must Have): -\nBachelor’s or master’s degree in computer science, Engineering, or a related field.\nProven experience as a Technical Architect or similar role, with a focus on AWS.\nExtensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, SageMaker, Glue, EMR, Airflow, and Redshift.\nStrong understanding of AI and ML concepts, tools, and frameworks.\nExtensive experience in designing/developing MLOps solutions.\nExperience with imaging data and related processing techniques.\nProficiency in programming languages such as Python/PySpark/PyTorch.\nExcellent problem-solving skills and the ability to work independently.\nSkills (Nice to Have): -\nAWS Certified Solutions Architect or other relevant AWS certifications.\nExperience with Docker, Kubernetes, and other containerization technologies.\nFamiliarity with CI/CD pipelines and DevOps practices.\nKnowledge of data privacy and security best practices.\nJob Type: Full-time\nBenefits:\nLife insurance\nSchedule:\n8 hour shift\nDay shift\nMonday to Friday\nExperience:\nPython: 1 year (Preferred)\nAbility to Commute:\nSouth San Francisco, CA 94080 (Required)\nAbility to Relocate:\nSouth San Francisco, CA 94080: Relocate before starting work (Required)\nWork Location: In person","company":"TechSpace Solutions","rawCompany":"techspacesolutions","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:49:54.273Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineering Platform Architect","description":"Job Title: AI Engineering Platform Architect\nLocation: San Francisco, CA (Onsite)\nDuration: Full Time\nWhat is in it for you?\nAs an AI Engineering Platform Architect you will be responsible for designing, developing, and maintaining an advanced technology platform on AWS that enables data scientists to perform AI and ML experiments on imaging data. The ideal candidate will have extensive experience with AWS services, strong architectural skills, and a deep understanding of the unique needs of AI and ML research and development.\nResponsibilities : -\nDesign and architect a scalable, secure, and efficient technology platform on AWS tailored for AI and ML experiments.\nCollaborate with data scientists, researchers, and other stakeholders to understand their requirements and translate them into technical solutions.\nDevelop and implement best practices for managing and processing imaging data in the cloud.\nIntegrate machine learning frameworks and tools into the AWS platform to facilitate seamless experimentation and development.\nOptimize the platform for performance, cost, and scalability.\nMaintain documentation of the architecture, configurations, and best practices.\nStay updated with the latest AWS services and features and integrate them into the platform as needed.\nProvide guidance and mentorship to other engineers and team members on the use of the platform and best practices in AWS.\nRequirement (Must Have): -\nBachelor’s or master’s degree in computer science, Engineering, or a related field.\nProven experience as a Technical Architect or similar role, with a focus on AWS.\nExtensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, SageMaker, Glue, EMR, Airflow, and Redshift.\nStrong understanding of AI and ML concepts, tools, and frameworks.\nExtensive experience in designing/developing MLOps solutions.\nExperience with imaging data and related processing techniques.\nProficiency in programming languages such as Python/PySpark/PyTorch.\nExcellent problem-solving skills and the ability to work independently.\nSkills (Nice to Have): -\nAWS Certified Solutions Architect or other relevant AWS certifications.\nExperience with Docker, Kubernetes, and other containerization technologies.\nFamiliarity with CI/CD pipelines and DevOps practices.\nKnowledge of data privacy and security best practices.\nJob Type: Full-time\nBenefits:\nLife insurance\nSchedule:\n8 hour shift\nDay shift\nMonday to Friday\nExperience:\nPython: 1 year (Preferred)\nAbility to Commute:\nSouth San Francisco, CA 94080 (Required)\nAbility to Relocate:\nSouth San Francisco, CA 94080: Relocate before starting work (Required)\nWork Location: In person","datePosted":"2026-04-12T20:49:54.273Z","dateModified":"2026-04-12T20:49:54.273Z","hiringOrganization":{"@type":"Organization","name":"TechSpace Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eb208b0c80c33aff1929b2ab"},"url":"https://jobsearcher.com/jobs/eb208b0c80c33aff1929b2ab"}}