IT Sr. Analyst, AI Engineer

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 .