IT Sr. Analyst, AI Engineer

Patrick Industries, Inc.; Elkhart (IN); Hybrid; USD 110,000 - 180,000; Full time

Benefits offered by this job

Health

Dental

Vision

Life

Insurances

Paid Vacation

401K Match

Holidays

Health Club and Tuition Reimbursement

Job summary

Patrick Industries, Inc. is seeking an IT Sr. Analyst, AI Engineer to design and deploy AI-enabled applications and intelligent automation across manufacturing, supply chain, finance, HR, and corporate processes.

The role emphasizes system architecture, platform integration, data engineering, and DevOps-driven delivery within a hybrid work setup in Elkhart, Indiana. Strong Python/SQL/JS skills and Azure familiarity are required.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 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.

Responsibilities

• 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.
• 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 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.
• 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.

Skills

Bachelor's degree in Computer Science

4+ years of software engineering

Experience designing, developing, and

Hands-on AI/machine learning

Python

SQL

JavaScript/TypeScript

Prompt engineering

Retrieval-augmented generation

LLM orchestration

DevOps practices (CI/CD)

Education

Bachelor's degree in Computer Science

Tools

Python

SQL

JavaScript/TypeScript

Azure DevOps

Dynamics 365

Job description

Current Team Members Apply Here

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!

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.

Location: Elkhart, Indiana, US, 46516

Work Arrangement: hybrid

Business Unit: Patrick Industries Inc Corp

Nearest Major Market: Elkhart

Nearest Secondary Market: South Bend