IT Sr. Analyst, AI Engineer

Job description

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! The IT Sr. Analyst, AI Engineer is responsible for designing, developing, deploying, and supporting enterprise AI solutions, agentic applications, and intelligent integrations across Patrick Industries. As a senior member of the Agile AI Factory, this role owns technical solution design, implementation approaches, engineering quality, and operational performance for assigned initiatives. The position partners closely with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver scalable AI-enabled solutions that drive automation, improve decision-making, and create measurable business value. Responsibilities & Duties: AI Solution Design & Development 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 System Architecture & Engineering 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 AI Platform Integration & Automation 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 Data Engineering & AI Enablement 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 Solution Quality, Monitoring & Production Support 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 DevOps & Agile Delivery Apply DevOps 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, deployment readiness, and production rollout activities Continuously improve engineering practices, development tools, and delivery processes Technical Leadership & Innovation Provide technical guidance and mentorship to engineers and project teams Promote engineering best practices and high-quality software development standards Research emerging AI technologies, frameworks, and development approaches Evaluate new tools and platforms that may enhance enterprise AI capabilities Recommend improvements that increase platform scalability, developer productivity, and business value Support advancement of Patrick Industries' AI maturity and digital transformation initiatives Qualifications and Skills: Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered 4+ years of software engineering, AI engineering, data engineering, or related experience Experience designing, developing, and deploying enterprise software applications and integrations Hands-on experience building and implementing AI, machine learning, generative AI, or agentic solutions Strong proficiency with Python, SQL, and JavaScript/TypeScript or similar development technologies Experience with prompt engineering, retrieval-augmented generation, LLM orchestration, and AI development frameworks Demonstrated system design and software architecture experience Experience developing APIs, integrations, and distributed application components Strong understanding of DevOps practices including CI/CD, source control, automated testing, and release management Experience working in Agile product development environments Familiarity with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments Knowledge of monitoring, observability, and production support practices for enterprise applications Experience with MLOps, model deployment, monitoring, and lifecycle management preferred Experience supporting manufacturing, operations, supply chain, or industrial business environments preferred Experience integrating enterprise applications, industrial systems, sensors, or operational technologies preferred Experience in decentralized, multi-site, or acquisition-driven organizations preferred Exposure to C#, Rust, or KQL is a plus Strong analytical, communication, collaboration, and problem-solving skills Benefits Include: Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family. Patrick is an Equal Opportunity Employer .