IT Sr. Analyst, AI Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
Full 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