IT Sr. Analyst, AI Engineer

Current Team Members Apply Here

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000!

Your adventure awaits!

• Design, develop, test, and deploy AI-enabled applications, agents, and intelligent automation solutions
• Own technical solution design for assigned initiatives, translating business requirements into scalable production-ready applications
• Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
• Create reusable frameworks, services, and components that accelerate enterprise AI delivery
• Develop technical documentation, design specifications, and engineering standards
• Participate in code reviews, design reviews, and architecture discussions to ensure solution quality

• Design system components, service boundaries, data flows, integration patterns, and operational workflows for assigned solutions
• Evaluate architectural alternatives and make recommendations based on scalability, performance, reliability, and maintainability requirements
• Assess technical trade-offs related to cost, latency, compute utilization, and solution complexity
• Design solutions that support enterprise growth, operational efficiency, and long-term sustainability
• Collaborate with Platform Engineers and Architects to ensure alignment with enterprise standards
• Identify and proactively address technical risks, dependencies, and architectural concerns

• Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
• Develop APIs, services, and automation frameworks that enable intelligent workflows across the organization
• Support implementation of AI capabilities within manufacturing, supply chain, finance, HR, and corporate business processes
• Ensure integrations are reliable, secure, scalable, and aligned with enterprise architecture standards
• Troubleshoot integration challenges and optimize system performance
• Collaborate with technical teams to support end-to-end solution delivery

• Build data pipelines and supporting infrastructure required for AI applications and intelligent automation
• Partner with Data Engineering teams to ensure data quality, availability, governance, and readiness
• Design and implement data structures that support AI model performance and business requirements
• Support ingestion, transformation, and preparation of enterprise data for AI use cases
• Optimize solutions for performance, scalability, and maintainability
• Contribute to enterprise AI and data platform standards and best practices

• Develop and maintain testing frameworks, evaluation harnesses, and validation processes for AI solutions
• Establish monitoring and observability standards for production AI systems
• Track application performance, latency, error rates, model behavior, and output quality
• Support deployment, stabilization, issue resolution, and ongoing production operations
• Implement regression testing and validation processes when models, prompts, or retrieval layers change
• Drive continuous improvement of solution reliability, performance, and supportability

• Apply Dev Ops best practices including CI/CD pipelines, source control, automated testing, and release management
• Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
• Collaborate with cross-functional teams to deliver prioritized work efficiently and predictably
• Provide effort estimates, identify delivery risks, and communicate project status effectively
• Support release planning,…