Senior AI Engineer & Enterprise Automation Lead
Patrick Industries
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
Patrick Industries, headquartered in Elkhart, Indiana, seeks an IT Sr. Analyst, AI Engineer to design, develop, deploy, and support enterprise AI solutions across the organization.
You will own solution design, alignment with stakeholders, and ensure scalable, production-ready AI capabilities. You will collaborate with Product Managers, Platform Engineers, Data Engineers, and business teams to deliver automated, data-driven outcomes that improve decision-making and drive measurable business
Qualifications
- 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
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
- 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
Skills
Education
Tools
Job description
Patrick Industries, headquartered in Elkhart, Indiana, seeks an IT Sr. Analyst, AI Engineer to design, develop, deploy, and support enterprise AI solutions across the organization.
You will own solution design, alignment with stakeholders, and ensure scalable, production-ready AI capabilities. You will collaborate with Product Managers, Platform Engineers, Data Engineers, and business teams to deliver automated, data-driven outcomes that improve decision-making and drive measurable business
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