{"schemaVersion":"jobsearcher.job.v1","id":"9f02e160e992c2b9e596d400","url":"https://jobsearcher.com/jobs/9f02e160e992c2b9e596d400","canonicalUrl":"https://jobsearcher.com/jobs/9f02e160e992c2b9e596d400","title":"Cloud Engineer- Data/AI Focused","description":"As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.\n\nWhat You’ll Do:\n\nImplementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR\nCreating and maintaining data extraction, transformation, and loading processes\nConfiguring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB\nImplementing data lakes using S3 and related AWS services\nDesigning and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude\nBuilding and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases\nDeveloping AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex\nWriting and testing SQL queries and stored procedures\nDocumenting technical solutions and providing knowledge transfer to customers\nSupporting the implementation of data governance and security controls\nTroubleshooting and resolving issues with data pipelines and AI services\nParticipating in code reviews and implementing feedback\nAssisting with proof-of-concept implementations for customer engagements\n\nRequired Skills:\n\n5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development\n2+ years of hands-on AWS experience with production deployments\n1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)\nProven track record delivering production AI applications from concept to deployment\nStrong understanding of software engineering best practices (version control, testing, code review, documentation)\nExperience working in agile/scrum environments with distributed teams\nExcellent problem-solving skills and ability to work independently with minimal supervision\nStrong written and verbal communication skills for client-facing interactions\n\nPreferred:\n\nTechnical familiarity with AWS data and AI/ML services and modern data engineering practices\nHands-on experience with ETL/ELT processes and data transformation\nExposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks\nAbility to write and optimize SQL queries across various database platforms\nKnowledge of data modeling concepts and best practices\nStrong analytical and problem-solving skills\nEagerness to learn new technologies and keep up with cloud and AI innovations\nExcellent communication skills with the ability to explain technical concepts clearly\nAttention to detail and commitment to solution quality\nCollaborative mindset with strong teamwork capabilities\nExperience or interest in automation and infrastructure as code\nThe salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Innovativesolutions","rawCompany":"innovativesolutions","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-09-01T09:31:48.257Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud Engineer- Data/AI Focused","description":"As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.\n\nWhat You’ll Do:\n\nImplementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR\nCreating and maintaining data extraction, transformation, and loading processes\nConfiguring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB\nImplementing data lakes using S3 and related AWS services\nDesigning and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude\nBuilding and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases\nDeveloping AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex\nWriting and testing SQL queries and stored procedures\nDocumenting technical solutions and providing knowledge transfer to customers\nSupporting the implementation of data governance and security controls\nTroubleshooting and resolving issues with data pipelines and AI services\nParticipating in code reviews and implementing feedback\nAssisting with proof-of-concept implementations for customer engagements\n\nRequired Skills:\n\n5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development\n2+ years of hands-on AWS experience with production deployments\n1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)\nProven track record delivering production AI applications from concept to deployment\nStrong understanding of software engineering best practices (version control, testing, code review, documentation)\nExperience working in agile/scrum environments with distributed teams\nExcellent problem-solving skills and ability to work independently with minimal supervision\nStrong written and verbal communication skills for client-facing interactions\n\nPreferred:\n\nTechnical familiarity with AWS data and AI/ML services and modern data engineering practices\nHands-on experience with ETL/ELT processes and data transformation\nExposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks\nAbility to write and optimize SQL queries across various database platforms\nKnowledge of data modeling concepts and best practices\nStrong analytical and problem-solving skills\nEagerness to learn new technologies and keep up with cloud and AI innovations\nExcellent communication skills with the ability to explain technical concepts clearly\nAttention to detail and commitment to solution quality\nCollaborative mindset with strong teamwork capabilities\nExperience or interest in automation and infrastructure as code\nThe salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-09-01T09:31:48.257Z","dateModified":"2026-09-01T09:31:48.257Z","hiringOrganization":{"@type":"Organization","name":"Innovativesolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9f02e160e992c2b9e596d400"},"url":"https://jobsearcher.com/jobs/9f02e160e992c2b9e596d400"}}