{"schemaVersion":"jobsearcher.job.v1","id":"d6ee5bfc3c8e7c510e0971a2","url":"https://jobsearcher.com/jobs/d6ee5bfc3c8e7c510e0971a2","canonicalUrl":"https://jobsearcher.com/jobs/d6ee5bfc3c8e7c510e0971a2","title":"Software Engineer","description":"Overview\nIn this role, you will lead the end-to-end design, development, and deployment of Python-based Gen AI solutions, including RAG architectures and conversational agents. You’ll architect scalable AI/ML workflows, manage model lifecycles from training to production, and integrate services across Multi-Cloud Platforms. You’ll build data pipelines connecting AI models to enterprise data sources such as Oracle databases, and apply strong software design practices to deliver high-performance, maintainable code. You’ll drive innovation in Gen AI for financial forecasting while collaborating with cross-functional teams in an Agile environment.\n\nResponsibilitiesLead design, development, and deployment of Python and Gen AI solutions including RAG architectures and conversational agents (Claude)Architect scalable AI/ML workflows and end-to-end model lifecycle managementDevelop and integrate services with Multi-Cloud Platforms and on-premise systemsBuild robust data integration pipelines connecting AI models with enterprise data sources (Oracle)Apply software design patterns and Python best practices for modular, high-performance codeExplore and implement latest Gen AI advancements to advance financial forecastingCollaborate in Agile with cross-functional teams to translate business needs into AI featuresChampion performance optimization for AI solutions\nKey requirements2-5 years of relevant experienceExpertise in Python and Generative AIExperience with RAG architectures and conversational AIStrong data integration and ETL skillsFamiliarity with multi-cloud and on-premise architecturesKnowledge of Oracle databases and enterprise data sourcesExperience with model lifecycle management from training to productionAbility to translate business requirements into AI featuresStrong collaboration and adaptability in Agile environmentscollaborationproblem-solvingcommunicationPythonGenerative AIRAG (Retrieval-Augmented Generation)","company":"Virtusa","rawCompany":"virtusa","city":"Sioux Falls","state":"SD","isRemote":false,"isActive":false,"createdAt":"2026-09-22T03:29:47.062Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer","description":"Overview\nIn this role, you will lead the end-to-end design, development, and deployment of Python-based Gen AI solutions, including RAG architectures and conversational agents. You’ll architect scalable AI/ML workflows, manage model lifecycles from training to production, and integrate services across Multi-Cloud Platforms. You’ll build data pipelines connecting AI models to enterprise data sources such as Oracle databases, and apply strong software design practices to deliver high-performance, maintainable code. You’ll drive innovation in Gen AI for financial forecasting while collaborating with cross-functional teams in an Agile environment.\n\nResponsibilitiesLead design, development, and deployment of Python and Gen AI solutions including RAG architectures and conversational agents (Claude)Architect scalable AI/ML workflows and end-to-end model lifecycle managementDevelop and integrate services with Multi-Cloud Platforms and on-premise systemsBuild robust data integration pipelines connecting AI models with enterprise data sources (Oracle)Apply software design patterns and Python best practices for modular, high-performance codeExplore and implement latest Gen AI advancements to advance financial forecastingCollaborate in Agile with cross-functional teams to translate business needs into AI featuresChampion performance optimization for AI solutions\nKey requirements2-5 years of relevant experienceExpertise in Python and Generative AIExperience with RAG architectures and conversational AIStrong data integration and ETL skillsFamiliarity with multi-cloud and on-premise architecturesKnowledge of Oracle databases and enterprise data sourcesExperience with model lifecycle management from training to productionAbility to translate business requirements into AI featuresStrong collaboration and adaptability in Agile environmentscollaborationproblem-solvingcommunicationPythonGenerative AIRAG (Retrieval-Augmented Generation)","datePosted":"2026-09-22T03:29:47.062Z","dateModified":"2026-09-22T03:29:47.062Z","hiringOrganization":{"@type":"Organization","name":"Virtusa","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sioux Falls","addressRegion":"SD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6ee5bfc3c8e7c510e0971a2"},"url":"https://jobsearcher.com/jobs/d6ee5bfc3c8e7c510e0971a2"}}