Artificial Intelligence Solutions Engineer

Komline; Washington, Baltimore (District of Columbia, MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Komline seeks an AI Solutions Engineer to design, build, and deploy intelligent AI solutions across our enterprise. You will partner with business and technology leaders to translate needs into robust, scalable production capabilities.

The role involves working across AI, data, and software domains, coordinating with stakeholders, and delivering measurable business outcomes. Based in Washington, DC with travel, you will influence Komline's AI architecture and governance.

Qualifications

• 3+ years of professional experience implementing AI, ML, data, or software solutions in a business environment.
• Experience building with large language models, including agent orchestration and tool calling.
• Strong programming skills in Python and REST APIs; experience with cloud/enterprise systems.
• Experience with modern software development practices (Git, CI/CD, testing, deployment).
• Design AI solutions for scalability, performance, and cost efficiency; manage context, caching, and rate limits.
• Knowledge of cloud AI and data services; ability to work with structured/unstructured data.
• Excellent communication; ability to translate business problems into technical designs for stakeholders.

Responsibilities

• Identify and prioritize AI opportunities based on business value and feasibility.
• Design, build, test, and deploy scalable AI agents and apps that interact with enterprise data.
• Develop retrieval-augmented generation, enterprise search, and knowledge capabilities.
• Integrate AI solutions with platforms like Microsoft 365, Dynamics 365, Salesforce, and Azure data services.
• Leverage Komline's AI platforms to create repeatable agents and workflows.
• Establish test suites and evaluate accuracy, latency, and cost; iterate post-launch.

Skills

AI/ML development

Large language models

Python

REST APIs

Git/CI-CD

Data handling

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Azure OpenAI

Microsoft Fabric

Power Platform

ChatGPT Enterprise

Copilot Studio

Job description

This Opportunity

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.

Responsibilities

• 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 products; develop build-versus-buy recommendations, implementation estimates, architecture approaches, and ROI analyses
• Demonstrate solutions, gather user feedback, document workflows, and help business teams incorporate new capabilities into day-to-day work
• Monitor solution performance, consumption, adoption, and business outcomes; communicate priorities, progress, risks, and realized value to stakeholders
• Maintain a practical backlog of enhancements and new use cases and contribute technical guidance to Komline's AI architecture, standards, governance, and responsible-use practices
• Perform other duties as assigned

Qualifications

• 3+ years of professional experience implementing AI, machine learning, data, or software solutions, including hands-on delivery of AI-enabled applications in a business environment
• Demonstrated experience building with large language models, including agent orchestration, tool or function calling, structured outputs, prompt design, grounding, retrieval-augmented generation, and model evaluation
• Strong programming skills in Python and experience developing and consuming REST APIs, working with JSON, and integrating cloud or enterprise systems
• Experience with modern software development practices, including Git, testing, code review, CI/CD, deployment, logging, monitoring, and production support
• Experience 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 limits
• Working knowledge of cloud AI and data services
• Ability to work with structured and unstructured data, including documents, databases, APIs, and vector search technologies
• Understanding of enterprise security, privacy, identity, access control, data protection, and responsible AI considerations
• Strong analytical, verbal, and written communication skills, with the ability to translate business problems into technical designs and explain technical tradeoffs to nontechnical stakeholders
• Ability to work effectively with business, IT, data, security, and executive stakeholders in a cross-functional environment
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experience

Preferred

• Experience deploying agentic systems or large language model applications using orchestration frameworks or cloud-native AI platforms
• Experience developing enterprise solutions using ChatGPT Enterprise, Claude Enterprise, Microsoft Copilot, Copilot Studio, or comparable governed AI platforms
• Experience with Azure AI services, Azure OpenAI, Microsoft Fabric, Power Platform, or related Microsoft technologies
• Experience with document intelligence, knowledge management, workflow automation, or enterprise search
• Experience integrating AI with ERP, CRM, engineering, manufacturing, or service-management systems
• Familiarity with industrial manufacturing, made-to-order, engineer-to-order, or other complex business-to-business environments

Komline is an Equal Opportunity Employer (EOE) - M/F/Vets/Disabled