{"schemaVersion":"jobsearcher.job.v1","id":"316f25459ffc254c8c2a37df","url":"https://jobsearcher.com/jobs/316f25459ffc254c8c2a37df","canonicalUrl":"https://jobsearcher.com/jobs/316f25459ffc254c8c2a37df","title":"Artificial Intelligence Engineer","description":"AI Engineer\r\nLocation: Hybrid – Austin, TX (3 Days in office)\r\nJob Type: Long-term Contract\r\nWe are seeking an experienced AI Engineer with strong hands-on expertise in AWS SageMaker and Amazon Bedrock to design, develop, deploy, and scale machine learning and generative AI solutions. The ideal candidate will work closely with data scientists, cloud engineers, and business stakeholders to build secure, production-grade AI systems on AWS.\r\nKey Responsibilities\r\nDesign, develop, and deploy machine learning and generative AI models using AWS SageMaker .\r\nBuild and integrate Generative AI applications using Amazon Bedrock (Claude, Titan, Llama, etc.).\r\nDevelop end-to-end ML pipelines including data ingestion, training, tuning, deployment, and monitoring.\r\nImplement model inference, batch processing, and real-time endpoints using SageMaker.\r\nOptimize model performance, scalability, and cost on AWS.\r\nApply MLOps best practices including CI/CD, model versioning, monitoring, and retraining.\r\nIntegrate AI/ML services with backend systems, APIs, and microservices.\r\nEnsure security, compliance, and governance using AWS IAM, encryption, and logging.\r\nCollaborate with cross-functional teams to translate business requirements into AI solutions.\r\nStay current with AWS AI/ML service updates and emerging GenAI best practices.\r\nRequired Skills & Qualifications\r\nBachelor's or Master's degree in Computer Science, AI, Data Science, or related field.\r\n5+ years of experience in AI/ML engineering or applied machine learning.\r\nStrong hands-on experience with AWS SageMaker (training jobs, endpoints, pipelines).\r\nProven experience working with Amazon Bedrock for Generative AI use cases.\r\nProficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn).\r\nExperience with LLMs, prompt engineering, embeddings, and RAG architectures.\r\nStrong understanding of ML algorithms, deep learning, and NLP.\r\nExperience with AWS services such as S3, Lambda, API Gateway, EC2, ECR, CloudWatch .\r\nKnowledge of containerization and orchestration (Docker, Kubernetes preferred).\r\nFamiliarity with MLOps tools and practices.\r\nSeniority Level\r\nMid-Senior level\r\nEmployment Type\r\nContract\r\nJob Function\r\nInformation Technology\r\nIndustries\r\nIT Services and IT Consulting\r\nJ-18808-Ljbffr","company":"Daman","rawCompany":"daman","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:02:07.424Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Engineer","description":"AI Engineer\r\nLocation: Hybrid – Austin, TX (3 Days in office)\r\nJob Type: Long-term Contract\r\nWe are seeking an experienced AI Engineer with strong hands-on expertise in AWS SageMaker and Amazon Bedrock to design, develop, deploy, and scale machine learning and generative AI solutions. The ideal candidate will work closely with data scientists, cloud engineers, and business stakeholders to build secure, production-grade AI systems on AWS.\r\nKey Responsibilities\r\nDesign, develop, and deploy machine learning and generative AI models using AWS SageMaker .\r\nBuild and integrate Generative AI applications using Amazon Bedrock (Claude, Titan, Llama, etc.).\r\nDevelop end-to-end ML pipelines including data ingestion, training, tuning, deployment, and monitoring.\r\nImplement model inference, batch processing, and real-time endpoints using SageMaker.\r\nOptimize model performance, scalability, and cost on AWS.\r\nApply MLOps best practices including CI/CD, model versioning, monitoring, and retraining.\r\nIntegrate AI/ML services with backend systems, APIs, and microservices.\r\nEnsure security, compliance, and governance using AWS IAM, encryption, and logging.\r\nCollaborate with cross-functional teams to translate business requirements into AI solutions.\r\nStay current with AWS AI/ML service updates and emerging GenAI best practices.\r\nRequired Skills & Qualifications\r\nBachelor's or Master's degree in Computer Science, AI, Data Science, or related field.\r\n5+ years of experience in AI/ML engineering or applied machine learning.\r\nStrong hands-on experience with AWS SageMaker (training jobs, endpoints, pipelines).\r\nProven experience working with Amazon Bedrock for Generative AI use cases.\r\nProficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn).\r\nExperience with LLMs, prompt engineering, embeddings, and RAG architectures.\r\nStrong understanding of ML algorithms, deep learning, and NLP.\r\nExperience with AWS services such as S3, Lambda, API Gateway, EC2, ECR, CloudWatch .\r\nKnowledge of containerization and orchestration (Docker, Kubernetes preferred).\r\nFamiliarity with MLOps tools and practices.\r\nSeniority Level\r\nMid-Senior level\r\nEmployment Type\r\nContract\r\nJob Function\r\nInformation Technology\r\nIndustries\r\nIT Services and IT Consulting\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T09:02:07.424Z","dateModified":"2026-04-09T09:02:07.424Z","hiringOrganization":{"@type":"Organization","name":"Daman","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"316f25459ffc254c8c2a37df"},"url":"https://jobsearcher.com/jobs/316f25459ffc254c8c2a37df"}}