{"schemaVersion":"jobsearcher.job.v1","id":"0c1ef8b3b952404abf5f1d85","url":"https://jobsearcher.com/jobs/0c1ef8b3b952404abf5f1d85","canonicalUrl":"https://jobsearcher.com/jobs/0c1ef8b3b952404abf5f1d85","title":"AI Solutions Engineer","description":"About ISACA: ISACA® (www.isaca.org) champions the global workforce advancing trust in technology. For more than 55 years, ISACA has empowered its community of 195,000+ members with the knowledge, credentials, training and network they need to thrive in fields like information security, governance, assurance, risk management, data privacy and emerging tech. With a presence in more than 195 countries and with more than 230 chapters worldwide, ISACA offers resources tailored to every stage of members’ careers—helping them to thrive in a rapidly changing digital landscape, drive trusted innovation and ensure a more secure digital world. Through the ISACA Foundation, ISACA also expands IT and education career pathways, fostering opportunities to grow the next generation of technology professionals. Overview:\nThe AI Solutions Engineer is responsible for the development, integration, implementation, and maintenance of artificial intelligence (AI) and large language model (LLM) applications used to support internal business operations. This position develops AI-enabled applications, integrations, and tools and connects AI capabilities with existing enterprise systems and data sources.\n\nThe position works with business and technology teams to translate functional requirements into technical solutions and supports AI applications throughout the development lifecycle, including design, development, testing, deployment, maintenance, and enhancement. The AI Solutions Engineer also ensures solutions are developed in accordance with applicable information security, privacy, data governance, and technology standards.\nResponsibilities:\nAI and Agentic Solution Development\nDesign, develop, test, deploy, and maintain LLM-powered applications, integrations, and agentic AI solutions using Azure cloud technologies, Azure OpenAI, and related AI services.\nDevelop Python-based applications and services that support natural language processing, generative AI, and other AI-enabled business use cases.\nDesign and implement agentic workflows that orchestrate AI services, models, tools, and internal or external data sources to address defined business requirements.\nDevelop and implement retrieval-augmented generation (RAG), prompt engineering, semantic search, embeddings, and related techniques to support AI application functionality.\nDevelop reusable application components, services, and technical patterns to support AI capabilities across internal applications.\nDevelop prototypes and proofs of concept and transition approved solutions into production applications.\nAI Integration, Performance and Optimization\nIntegrate Azure OpenAI APIs, AI services, and external models with internal applications, systems, and data sources.\nDesign and maintain integrations with consideration for application reliability, scalability, performance, and maintainability.\nDevelop and optimize prompts, model configurations, and parameters to improve application performance, response quality, and cost efficiency.\nPerform model configuration and fine-tuning, as appropriate, based on application requirements and available technologies.\nMonitor, troubleshoot, and debug agentic workflows, application integrations, and AI-generated outputs.\nEvaluate changes in LLM and AI technologies and recommend modifications or enhancements to existing applications and technical approaches.\nAI Monitoring, Security & Reliability\nDevelop and implement automated evaluation methods and frameworks to monitor the quality, accuracy, reliability, and performance of AI-enabled applications.\nMonitor and evaluate AI-generated outputs for hallucinations, performance degradation, and other quality or reliability concerns.\nImplement technical safeguards to mitigate prompt injection, inappropriate or harmful outputs, unauthorized access, and exposure of confidential or sensitive organizational data.\nDevelop AI solutions in accordance with organizational information security, privacy, data governance, and technology requirements.\nWork with Information Security and other applicable functions to identify and address technical risks associated with AI applications and agentic workflows.\nSupport ongoing monitoring and maintenance of AI solutions to identify and resolve application, model, integration, and performance issues.\nCross Functional Collaboration & Solution Design\nCollaborate with cross-functional business and technology teams to translate business requirements into technical requirements and AI-enabled solutions.\nParticipate in requirements gathering, solution design, technical planning, and implementation activities.\nCommunicate technical requirements, capabilities, limitations, dependencies, and risks to technical and non-technical stakeholders.\nCoordinate with Information Technology, Information Security, Data, and other applicable teams regarding system integrations, data requirements, security controls, and deployment dependencies.\nProvide technical input regarding the feasibility and implementation requirements of proposed AI use cases.\nTechnical Documentation\nCreate and maintain technical documentation for application code, system architecture, integrations, configurations, agentic workflows, and technical dependencies.\nDocument architecture decisions, technical approaches, development standards, and solution configurations to support ongoing maintenance and team knowledge sharing.\nMaintain documentation as applications, integrations, and technical requirements change.\nQualifications:\nRequired Field of Study:\nBachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field\nMinimum Years of Experience Required:\n5+ years of professional software or application development experience, including hands-on experience developing Python-based applications or solutions, and experience developing, implementing, or integrating AI-enabled applications.\nDescription of Preferred Experience:\nStrong software/Python development foundation plus some hands-on AI-enabled application experience, with the more specialized AI/LLM/cloud experience remaining preferred.\nExperience integrating applications with APIs, enterprise systems, databases, or other data sources.\nExperience developing or supporting applications within a cloud-based environment.\nExperience applying security and data protection practices to application development and system integrations.\nPreferred Field of Study:\nAdvanced degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.\nPreferred Years of Experience:\n8+ years of professional software or application development experience, including two (2) or more years of hands-on experience developing, implementing, or integrating AI, generative AI, LLM-powered, or agentic AI solutions.\nDescription of Preferred Experience:\nExperience developing or integrating AI and LLM solutions within a complex or enterprise environment.\nExperience with Microsoft Azure, Azure OpenAI, Azure AI services, or comparable cloud-based AI platforms.\nExperience developing agentic AI workflows and orchestrating AI models, tools, APIs, and data sources.\nExperience with retrieval-augmented generation (RAG), prompt engineering, embeddings, semantic search, or vector databases.\nExperience implementing security controls and safeguards for AI-enabled applications.\nExperience developing evaluation or monitoring approaches for AI application performance, accuracy, hallucinations, or model drift.\nExperience optimizing LLM prompts, model configurations, or parameters for performance, reliability, and cost efficiency.\nExperience working within a complex, enterprise, international, or global organization\nCompetencies/Skills Required:\nStrong written and verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences.\nStrong programming and application development skills, including proficiency in Python.\nWorking knowledge of artificial intelligence, generative AI, large language models (LLMs), and related development approaches, including prompt engineering, RAG, and agentic workflows.\nWorking knowledge of cloud-based technologies, AI services, information security, data privacy, and secure development practices.\nStrong critical thinking, analytical, troubleshooting, and problem-solving skills.\nAbility to translate business requirements into practical, secure, and scalable technical solutions.\nStrong collaboration and stakeholder management skills, with the ability to influence and work effectively across functions without direct authority.\nHigh degree of initiative, accountability, adaptability, and sound judgment, with the ability to manage multiple priorities and work independently.\nThis position may require periodic onsite attendance, either currently or in the future, based on business needs. Occasional travel may also be required to attend company-sponsored events, meetings, all-hands gatherings, training sessions, or other activities necessary to support the essential functions of the role.\nEqual Opportunity Employer (EEO): ISACA is proud to be an equal opportunity employer. ISACA is committed to building an environment of diversity, equity, and inclusion where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, age, ancestry, disability, genetic information, citizenship, sexual orientation, veteran status, marital status, familial status, military discharge status, or any other characteristic or status protected by federal, state, or local law. We support an inclusive workplace where employees excel based on merit, qualifications, experience, and ability. Posted Salary Range: USD $98,679.00 - USD $148,020.00 /Yr. Benefits Information:\nBenefits Information available below:\nISACA Career Opportunities and Benefits","company":"Isaca","rawCompany":"isaca","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T15:13:04.496Z","occupations":[{"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"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Solutions Engineer","description":"About ISACA: ISACA® (www.isaca.org) champions the global workforce advancing trust in technology. For more than 55 years, ISACA has empowered its community of 195,000+ members with the knowledge, credentials, training and network they need to thrive in fields like information security, governance, assurance, risk management, data privacy and emerging tech. With a presence in more than 195 countries and with more than 230 chapters worldwide, ISACA offers resources tailored to every stage of members’ careers—helping them to thrive in a rapidly changing digital landscape, drive trusted innovation and ensure a more secure digital world. Through the ISACA Foundation, ISACA also expands IT and education career pathways, fostering opportunities to grow the next generation of technology professionals. Overview:\nThe AI Solutions Engineer is responsible for the development, integration, implementation, and maintenance of artificial intelligence (AI) and large language model (LLM) applications used to support internal business operations. This position develops AI-enabled applications, integrations, and tools and connects AI capabilities with existing enterprise systems and data sources.\n\nThe position works with business and technology teams to translate functional requirements into technical solutions and supports AI applications throughout the development lifecycle, including design, development, testing, deployment, maintenance, and enhancement. The AI Solutions Engineer also ensures solutions are developed in accordance with applicable information security, privacy, data governance, and technology standards.\nResponsibilities:\nAI and Agentic Solution Development\nDesign, develop, test, deploy, and maintain LLM-powered applications, integrations, and agentic AI solutions using Azure cloud technologies, Azure OpenAI, and related AI services.\nDevelop Python-based applications and services that support natural language processing, generative AI, and other AI-enabled business use cases.\nDesign and implement agentic workflows that orchestrate AI services, models, tools, and internal or external data sources to address defined business requirements.\nDevelop and implement retrieval-augmented generation (RAG), prompt engineering, semantic search, embeddings, and related techniques to support AI application functionality.\nDevelop reusable application components, services, and technical patterns to support AI capabilities across internal applications.\nDevelop prototypes and proofs of concept and transition approved solutions into production applications.\nAI Integration, Performance and Optimization\nIntegrate Azure OpenAI APIs, AI services, and external models with internal applications, systems, and data sources.\nDesign and maintain integrations with consideration for application reliability, scalability, performance, and maintainability.\nDevelop and optimize prompts, model configurations, and parameters to improve application performance, response quality, and cost efficiency.\nPerform model configuration and fine-tuning, as appropriate, based on application requirements and available technologies.\nMonitor, troubleshoot, and debug agentic workflows, application integrations, and AI-generated outputs.\nEvaluate changes in LLM and AI technologies and recommend modifications or enhancements to existing applications and technical approaches.\nAI Monitoring, Security & Reliability\nDevelop and implement automated evaluation methods and frameworks to monitor the quality, accuracy, reliability, and performance of AI-enabled applications.\nMonitor and evaluate AI-generated outputs for hallucinations, performance degradation, and other quality or reliability concerns.\nImplement technical safeguards to mitigate prompt injection, inappropriate or harmful outputs, unauthorized access, and exposure of confidential or sensitive organizational data.\nDevelop AI solutions in accordance with organizational information security, privacy, data governance, and technology requirements.\nWork with Information Security and other applicable functions to identify and address technical risks associated with AI applications and agentic workflows.\nSupport ongoing monitoring and maintenance of AI solutions to identify and resolve application, model, integration, and performance issues.\nCross Functional Collaboration & Solution Design\nCollaborate with cross-functional business and technology teams to translate business requirements into technical requirements and AI-enabled solutions.\nParticipate in requirements gathering, solution design, technical planning, and implementation activities.\nCommunicate technical requirements, capabilities, limitations, dependencies, and risks to technical and non-technical stakeholders.\nCoordinate with Information Technology, Information Security, Data, and other applicable teams regarding system integrations, data requirements, security controls, and deployment dependencies.\nProvide technical input regarding the feasibility and implementation requirements of proposed AI use cases.\nTechnical Documentation\nCreate and maintain technical documentation for application code, system architecture, integrations, configurations, agentic workflows, and technical dependencies.\nDocument architecture decisions, technical approaches, development standards, and solution configurations to support ongoing maintenance and team knowledge sharing.\nMaintain documentation as applications, integrations, and technical requirements change.\nQualifications:\nRequired Field of Study:\nBachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field\nMinimum Years of Experience Required:\n5+ years of professional software or application development experience, including hands-on experience developing Python-based applications or solutions, and experience developing, implementing, or integrating AI-enabled applications.\nDescription of Preferred Experience:\nStrong software/Python development foundation plus some hands-on AI-enabled application experience, with the more specialized AI/LLM/cloud experience remaining preferred.\nExperience integrating applications with APIs, enterprise systems, databases, or other data sources.\nExperience developing or supporting applications within a cloud-based environment.\nExperience applying security and data protection practices to application development and system integrations.\nPreferred Field of Study:\nAdvanced degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.\nPreferred Years of Experience:\n8+ years of professional software or application development experience, including two (2) or more years of hands-on experience developing, implementing, or integrating AI, generative AI, LLM-powered, or agentic AI solutions.\nDescription of Preferred Experience:\nExperience developing or integrating AI and LLM solutions within a complex or enterprise environment.\nExperience with Microsoft Azure, Azure OpenAI, Azure AI services, or comparable cloud-based AI platforms.\nExperience developing agentic AI workflows and orchestrating AI models, tools, APIs, and data sources.\nExperience with retrieval-augmented generation (RAG), prompt engineering, embeddings, semantic search, or vector databases.\nExperience implementing security controls and safeguards for AI-enabled applications.\nExperience developing evaluation or monitoring approaches for AI application performance, accuracy, hallucinations, or model drift.\nExperience optimizing LLM prompts, model configurations, or parameters for performance, reliability, and cost efficiency.\nExperience working within a complex, enterprise, international, or global organization\nCompetencies/Skills Required:\nStrong written and verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences.\nStrong programming and application development skills, including proficiency in Python.\nWorking knowledge of artificial intelligence, generative AI, large language models (LLMs), and related development approaches, including prompt engineering, RAG, and agentic workflows.\nWorking knowledge of cloud-based technologies, AI services, information security, data privacy, and secure development practices.\nStrong critical thinking, analytical, troubleshooting, and problem-solving skills.\nAbility to translate business requirements into practical, secure, and scalable technical solutions.\nStrong collaboration and stakeholder management skills, with the ability to influence and work effectively across functions without direct authority.\nHigh degree of initiative, accountability, adaptability, and sound judgment, with the ability to manage multiple priorities and work independently.\nThis position may require periodic onsite attendance, either currently or in the future, based on business needs. Occasional travel may also be required to attend company-sponsored events, meetings, all-hands gatherings, training sessions, or other activities necessary to support the essential functions of the role.\nEqual Opportunity Employer (EEO): ISACA is proud to be an equal opportunity employer. ISACA is committed to building an environment of diversity, equity, and inclusion where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, age, ancestry, disability, genetic information, citizenship, sexual orientation, veteran status, marital status, familial status, military discharge status, or any other characteristic or status protected by federal, state, or local law. We support an inclusive workplace where employees excel based on merit, qualifications, experience, and ability. Posted Salary Range: USD $98,679.00 - USD $148,020.00 /Yr. Benefits Information:\nBenefits Information available below:\nISACA Career Opportunities and Benefits","datePosted":"2026-08-05T15:13:04.496Z","dateModified":"2026-08-05T15:13:04.496Z","hiringOrganization":{"@type":"Organization","name":"Isaca","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0c1ef8b3b952404abf5f1d85"},"url":"https://jobsearcher.com/jobs/0c1ef8b3b952404abf5f1d85"}}