IT Analyst, AI Engineer

Patrick Industries, Inc is hiring an IT Analyst, AI Engineer to design, build, test, deploy, and support AI-enabled applications and integrations at our onsite location in Elkhart, IN.

Responsibilities

• Design, develop, test, and deploy AI-enabled applications, agents, and automation solutions
• Build production-ready software components for enterprise AI initiatives
• Implement AI workflows including agent orchestration, prompt engineering, and retrieval-augmented generation
• Translate business and technical requirements into scalable software solutions
• Create reusable components and integration patterns to accelerate future AI delivery
• Develop and maintain technical documentation for solutions, integrations, and development standards
• Build integrations between AI platforms and enterprise systems, including ERP, business applications, and operational technologies
• Develop APIs, services, and integration layers to enable secure, reliable information exchange
• Support connectivity between AI solutions, data platforms, and business applications
• Troubleshoot integration issues affecting delivery, performance, and production stability
• Ensure integrations align with enterprise architecture and security standards
• Partner with business and technical teams for end-to-end solution delivery
• Develop data pipelines and supporting infrastructure required for AI applications and workflows
• Collaborate with Data Engineering to ensure data quality, availability, and readiness
• Support ingestion, transformation, and preparation of data for AI and analytics use cases
• Design solutions to optimize data accuracy, performance, and scalability
• Assist with implementation of enterprise AI and data platform standards
• Support AI model utilization using reliable data architecture and engineering practices
• Develop and maintain test cases, evaluation criteria, and regression testing processes for AI solutions
• Validate AI outputs and ensure solution quality meets business and technical requirements
• Implement monitoring and observability for AI applications, workflows, and integrations
• Monitor latency, performance, reliability, and output quality in production
• Support issue resolution, defect remediation, and ongoing production support activities
• Continuously improve solution stability and operational performance
• Apply DevOps best practices including CI/CD, source control, automated testing, and release management
• Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
• Collaborate with cross-functional teams to execute prioritized work
• Provide effort estimates, status updates, and risk identification for assigned initiatives
• Support deployment planning, release execution, and production readiness activities
• Follow enterprise governance, security, and responsible AI standards throughout development
• Contribute to solution architecture discussions and engineering design decisions within assigned projects
• Identify and communicate technical trade-offs across cost, scalability, performance, reliability, and maintainability
• Evaluate feasibility and support implementation approaches
• Escalate architectural concerns and solution risks when appropriate
• Recommend improvements to development standards, tools, and engineering practices
• Stay current on emerging AI technologies, frameworks, and software engineering techniques
• Deliver technology solutions supporting enterprise AI priorities and business transformation
• Contribute to automation, intelligent workflow, analytics, and AI-enabled business initiatives
• Support capability development across operations, supply chain, manufacturing, finance, and corporate functions
• Assist with measurement and monitoring of solution adoption and business impact
• Work with Product Managers and business stakeholders to ensure delivered solutions achieve intended outcomes

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
• 2+ years of software engineering, data engineering, AI engineering, or related experience
• Experience designing, building, testing, and supporting software applications and integrations
• Experience with AI, machine learning, generative AI, agent-based systems, or intelligent automation solutions
• Proficiency with Python, SQL, and JavaScript/TypeScript (or similar languages)
• Knowledge of prompt engineering, AI orchestration frameworks, and retrieval-augmented generation concepts
• Experience with APIs, system integrations, and enterprise application connectivity
• Experience with version control systems, automated testing, and CI/CD practices
• Familiarity with Agile methodologies including Scrum and Kanban
• Understanding of software architecture, system design, and engineering best practices
• Strong analytical, problem-solving, communication, and collaboration skills

Preferred Skills & Plus

• Experience with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
• Familiarity with monitoring, observability, and application performance management concepts
• Experience integrating AI solutions with enterprise systems and business processes
• Exposure to manufacturing, operations, supply chain, or industrial environments
• Experience in decentralized, multi-site, or acquisition-driven organizations
• Familiarity with MLOps, model deployment, monitoring, and lifecycle management
• Exposure to C#, Rust, or KQL

Technologies

• Python, SQL, JavaScript, TypeScript
• CI/CD
• Scrum, Kanban
• Microsoft Azure, Microsoft Fabric, Microsoft Foundry
• Azure DevOps, Dynamics 365, ERP
• APIs
• MLOps
• C#, Rust, KQL

Benefits

• Health
• Dental
• Vision
• Life
• Insurances
• Paid Vacation
• 401K Match
• Holidays
• Health Club
• Tuition Reimbursement