{"schemaVersion":"jobsearcher.job.v1","id":"24ebfed2891caebd412c56f8","url":"https://jobsearcher.com/jobs/24ebfed2891caebd412c56f8","canonicalUrl":"https://jobsearcher.com/jobs/24ebfed2891caebd412c56f8","title":"AI Solution Engineer","description":"Job Description\n\nKey Responsibilities1. Technical Consultancy (The \"Strategy\" Hat)\nDiscovery & Assessment: Partner with LOBs to map existing business processes, capture requirements, and identify friction points where AI/Automation can significantly reduce manual effort.\nSolution Design: Translate vague business requirements into concrete technical solutions that leverage the Hub-and-Spoke AIDO Platform.\nValue Engineering: Develop \"AI Value Scorecards\" to estimate potential ROI and LOE reduction for proposed use cases.\nCenter of Excellence: Assist LOBs with the application of AI use cases with existing and planned AIDO Platform capability. Drive adoption of Generative AI principles and techniques.\n2. Rapid Prototyping & Development (The \"Builder\" Hat)\nPlatform Mastery: Maintain a current development environment against the AI Platform’s APIs and UI services to stay ahead of new feature releases.\nInformal POCs: Conduct rapid technical validation by building functional prototypes in a sandbox environment (utilizing AWS OpenSearch, RAG patterns, and LLM orchestration).\nTechnical Feasibility: Perform \"smoke tests\" on LOB data to ensure it is viable for the proposed AI application before full-scale development begins.\nReference Implementation: Build and maintain a library of \"Golden Path\" code samples and templates to accelerate LOB developers.Required Qualifications\nEducation: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.\nTechnical Proficiency: * Experience with Python or JavaScript and interacting with RESTful APIs.\nFamiliarity with cloud-based data environments (e.g., AWS OpenSearch, S3).\nUnderstanding of Generative AI concepts (Language Models, Prompt Engineering, RAG, Other data techniques to support AI).\nAnalytical Mindset: Ability to deconstruct complex business workflows into logical steps for automation.\nCommunication: Strong ability to explain technical AI concepts to non-technical stakeholders in a persuasive, consultative manner.","company":"Dignify Solutions","rawCompany":"dignify solutions","city":"Herndon","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T04:48:54.558Z","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":"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":"AI Solution Engineer","description":"Job Description\n\nKey Responsibilities1. Technical Consultancy (The \"Strategy\" Hat)\nDiscovery & Assessment: Partner with LOBs to map existing business processes, capture requirements, and identify friction points where AI/Automation can significantly reduce manual effort.\nSolution Design: Translate vague business requirements into concrete technical solutions that leverage the Hub-and-Spoke AIDO Platform.\nValue Engineering: Develop \"AI Value Scorecards\" to estimate potential ROI and LOE reduction for proposed use cases.\nCenter of Excellence: Assist LOBs with the application of AI use cases with existing and planned AIDO Platform capability. Drive adoption of Generative AI principles and techniques.\n2. Rapid Prototyping & Development (The \"Builder\" Hat)\nPlatform Mastery: Maintain a current development environment against the AI Platform’s APIs and UI services to stay ahead of new feature releases.\nInformal POCs: Conduct rapid technical validation by building functional prototypes in a sandbox environment (utilizing AWS OpenSearch, RAG patterns, and LLM orchestration).\nTechnical Feasibility: Perform \"smoke tests\" on LOB data to ensure it is viable for the proposed AI application before full-scale development begins.\nReference Implementation: Build and maintain a library of \"Golden Path\" code samples and templates to accelerate LOB developers.Required Qualifications\nEducation: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.\nTechnical Proficiency: * Experience with Python or JavaScript and interacting with RESTful APIs.\nFamiliarity with cloud-based data environments (e.g., AWS OpenSearch, S3).\nUnderstanding of Generative AI concepts (Language Models, Prompt Engineering, RAG, Other data techniques to support AI).\nAnalytical Mindset: Ability to deconstruct complex business workflows into logical steps for automation.\nCommunication: Strong ability to explain technical AI concepts to non-technical stakeholders in a persuasive, consultative manner.","datePosted":"2026-11-04T04:48:54.558Z","dateModified":"2026-11-04T04:48:54.558Z","hiringOrganization":{"@type":"Organization","name":"Dignify Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Herndon","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"24ebfed2891caebd412c56f8"},"url":"https://jobsearcher.com/jobs/24ebfed2891caebd412c56f8"}}