Artificial Intelligence Solutions Engineer

As 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.

The 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.

• Partner with business leaders and subject-matter experts to identify and prioritize AI opportunities based on business value, feasibility, risk, data readiness, and adoption requirements
• Design, build, test, and deploy scalable AI agents and applications that reason over enterprise information, use approved tools, call APIs, and support multi-step business workflows
• Develop retrieval-augmented generation, enterprise search, document processing, structured extraction, classification, summarization, and related knowledge capabilities
• Integrate AI solutions with platforms and data sources such as Microsoft 365, Dynamics 365, Salesforce, Microsoft Fabric, Azure data services, and other operational systems
• Use Komline's enterprise ChatGPT, Claude, and Microsoft Copilot capabilities to develop repeatable agents, assistants, applications, and workflows when those platforms provide the best fit
• Design 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 drivers
• Create reusable services, components, prompts, tools, connectors, and solution patterns that accelerate delivery of future AI use cases
• Establish test suites and evaluation methods for accuracy, relevance, latency, reliability, safety, cost, and business effectiveness, and use results to improve solutions before and after launch
• Implement appropriate human-in-the-loop controls, identity and access safeguards, logging, monitoring, exception handling, and data-protection practices
• Build prototypes quickly and harden successful concepts for production through sound architecture, load and performance testing, documentation, version control, deployment, monitoring, and support practices
• Evaluate enterprise platforms, models, custom approaches, and third-party…