Artificial Intelligence Solutions Engineer
About KomlineAs a pioneering leader in advanced separation technologies, Komline has established a global reputation for engineering excellence. Through our combination of innovative design, cutting-edge manufacturing capabilities, and decades of industry experience, we consistently deliver the highest quality equipment from our integrated manufacturing facilities. Serving our core markets of Water & Process, Agricultural & Renewables, and Industrials, we pride ourselves on providing comprehensive separation solutions precisely tailored to our clients' requirements. With a strong track record of strategic growth and acquisitions, Komline continues to expand its solution portfolio and technical capabilities while maintaining our commitment to innovation and customer satisfaction.About This OpportunityThe AI Solutions Engineer is an experienced, hands-on technology professional responsible for designing, building, and deploying intelligent solutions across the enterprise. Working directly with business and technology leaders, this role identifies high-value opportunities, translates operational needs into technical solutions, and moves AI capabilities from concept into secure, reliable, scalable, and cost-effective production use.This opportunity spans the organization and may include agent-assisted RFQ and proposal development, engineering knowledge retrieval, manufacturing and supply-chain decision support, service and aftermarket workflows, finance automation, and employee productivity. The successful candidate will be equally comfortable developing software, integrating enterprise data and systems, and partnering with stakeholders to deliver measurable business outcomes. Reporting to the Vice President, Information Systems, this position is based in Komline's Washington, DC office and requires approximately 25% travel, primarily to Komline operating locations.ResponsibilitiesPartner with business leaders and subject-matter experts to identify and prioritize AI opportunities based on business value, feasibility, risk, data readiness, and adoption requirementsDesign, build, test, and deploy scalable AI agents and applications that reason over enterprise information, use approved tools, call APIs, and support multi-step business workflowsDevelop retrieval-augmented generation, enterprise search, document processing, structured extraction, classification, summarization, and related knowledge capabilitiesIntegrate AI solutions with platforms and data sources such as Microsoft 365, Dynamics 365, Salesforce, Microsoft Fabric, Azure data services, and other operational systemsUse Komline's enterprise ChatGPT, Claude, and Microsoft Copilot capabilities to develop repeatable agents, assistants, applications, and workflows when those platforms provide the best fitDesign solutions for increasing usage and data volumes while managing model selection, context size, token and credit consumption, caching, rate limits, latency, and other cost and performance driversCreate reusable services, components, prompts, tools, connectors, and solution patterns that accelerate delivery of future AI use casesEstablish test suites and evaluation methods for accuracy, relevance, latency, reliability, safety, cost, and business effectiveness, and use results to improve solutions before and after launchImplement appropriate human-in-the-loop controls, identity and access safeguards, logging, monitoring, exception handling, and data-protection practicesBuild prototypes quickly and harden successful concepts for production through sound architecture, load and performance testing, documentation, version control, deployment, monitoring, and support practicesEvaluate enterprise platforms, models, custom approaches, and third-party products; develop build-versus-buy recommendations, implementation estimates, architecture approaches, and ROI analysesDemonstrate solutions, gather user feedback, document workflows, and help business teams incorporate new capabilities into day-to-day workMonitor solution performance, consumption, adoption, and business outcomes; communicate priorities, progress, risks, and realized value to stakeholdersMaintain a practical backlog of enhancements and new use cases and contribute technical guidance to Komline's AI architecture, standards, governance, and responsible-use practicesPerform other duties as assignedQualifications3+ years of professional experience implementing AI, machine learning, data, or software solutions, including hands-on delivery of AI-enabled applications in a business environmentDemonstrated experience building with large language models, including agent orchestration, tool or function calling, structured outputs, prompt design, grounding, retrieval-augmented generation, and model evaluationStrong programming skills in Python and experience developing and consuming REST APIs, working with JSON, and integrating cloud or enterprise systemsExperience with modern software development practices, including Git, testing, code review, CI/CD, deployment, logging, monitoring, and production supportExperience designing AI or cloud solutions for scalability, performance, and cost efficiency, including practical management of model usage, context windows, token consumption, caching, throughput, and rate limitsWorking knowledge of cloud AI and data servicesAbility to work with structured and unstructured data, including documents, databases, APIs, and vector search technologiesUnderstanding of enterprise security, privacy, identity, access control, data protection, and responsible AI considerationsStrong analytical, verbal, and written communication skills, with the ability to translate business problems into technical designs and explain technical tradeoffs to nontechnical stakeholdersAbility to work effectively with business, IT, data, security, and executive stakeholders in a cross-functional environmentBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experiencePreferredExperience deploying agentic systems or large language model applications using orchestration frameworks or cloud-native AI platformsExperience developing enterprise solutions using ChatGPT Enterprise, Claude Enterprise, Microsoft Copilot, Copilot Studio, or comparable governed AI platformsExperience with Azure AI services, Azure OpenAI, Microsoft Fabric, Power Platform, or related Microsoft technologiesExperience with document intelligence, knowledge management, workflow automation, or enterprise searchExperience integrating AI with ERP, CRM, engineering, manufacturing, or service-management systemsFamiliarity with industrial manufacturing, made-to-order, engineer-to-order, or other complex business-to-business environmentsKomline is an Equal Opportunity Employer (EOE) - M/F/Vets/Disabled