Elkhart, IN

Engineer Jobs in Elkhart, IN

3 jobs found

Include remote jobs

1mo ago

IT Sr. Analyst, AI Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

1mo ago Closed

Full time Senior Agentic Ai Ai Engineer

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Patrick Industries, Inc is hiring an IT Sr. Analyst, AI Engineer for an onsite role in Elkhart, IN. In this position, you will design, develop, deploy, and support enterprise AI solutions and agentic applications, including intelligent integrations across the organization. The work is built around partnership with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver scalable AI-enabled capabilities that support automation and measurable business value.

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 production-ready applications
Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
Create reusable frameworks, services, and components to accelerate enterprise AI delivery
Produce technical documentation, design specifications, and engineering standards
Participate in code reviews, design reviews, and architecture discussions to support solution quality
Design system components, service boundaries, data flows, integration patterns, and operational workflows
Evaluate architectural alternatives and recommend approaches based on scalability, performance, reliability, and maintainability
Assess technical trade-offs across cost, latency, compute utilization, and overall solution complexity
Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
Develop APIs, services, and automation frameworks enabling intelligent workflows across the organization
Support AI implementation across manufacturing, supply chain, finance, HR, and corporate business processes
Troubleshoot integration challenges and optimize system performance
Build data pipelines and infrastructure required for AI applications and intelligent automation
Partner with Data Engineering teams on data quality, availability, governance, and readiness
Design data structures supporting AI model performance and business requirements, including ingestion, transformation, and preparation of enterprise data
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, tracking performance, latency, error rates, model behavior, and output quality
Support deployment, stabilization, issue resolution, and ongoing production operations, including regression testing when models, prompts, or retrieval layers change
Apply DevOps best practices including CI/CD pipelines, source control, automated testing, and release management
Participate in Agile ceremonies such as sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
Provide effort estimates, identify delivery risks, communicate project status, and support deployment readiness and production rollout
Research emerging AI technologies and evaluate new tools and platforms that may enhance enterprise AI capabilities
Provide technical guidance and mentorship, promoting high-quality software development standards
Support advancement of Patrick Industries' AI maturity and digital transformation initiatives

Requirements

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

Technologies

Python, SQL, JavaScript, TypeScript
C#, Rust, KQL
Microsoft Azure, Microsoft Fabric, Microsoft Foundry
Azure DevOps, Dynamics 365

Benefits

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

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1mo ago

IT Analyst, AI Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

1mo ago Closed

Full time AI Ai Engineering Ai Ml

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

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

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1mo ago

Wire Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

1mo ago Closed

Full time Electrical Engineering AutoCAD Cad Software

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Patrick Industries, Inc, including its KRA International division, invites you to join the team as a Wire Engineer on site in Elkhart, IN. In this role, you will design, develop, and ensure the reliability of wiring harnesses for the Recreational Vehicle market. You will collaborate with cross-functional engineers and production teams, leverage CAD tools to produce precise drawings and materials data, and contribute to dependable harness solutions that align with customer specifications and industry standards.

Responsibilities

Create and iterate wiring harness designs for the Recreational Vehicle sector.
Read, interpret, and implement complex wiring diagrams and specifications with accuracy.
Work closely with fellow engineers and specialists to integrate harnesses into larger systems.
Evaluate harness performance through testing to verify functionality and reliability across varying conditions.
Update and maintain technical drawings and manufacturing documentation related to harness design and processes.
Partner with internal and external engineers and customers to diagnose and resolve issues such as electrical shorts or signal interference.
Coordinate with production and procurement to manufacture high quality harnesses and source appropriate materials for construction.
Ensure that harness designs and manufacturing processes comply with customer specifications, industry standards, and regulations.
Maintain awareness of advancements in wire harness technology and apply relevant innovations to design and manufacturing workflows.
Prepare technical reports and documentation to support development and production activities.
Provide technical guidance to production and quality teams before, during, and after manufacturing.

Requirements

Bachelor’s degree in engineering or a related field from an ABET accredited university is preferred.
We will consider relevant industry experience in lieu of a four-year degree.
Extensive knowledge of wire harness systems and materials.
Strong analytical and problem-solving abilities.
Proficiency with CAD tools, specifically AutoCAD and CADONIX, and other engineering software.
Excellent communication skills and a collaborative mindset.
High level of diligence and commitment to quality.
Knowledge of applicable safety standards and regulatory requirements.

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Engineer Jobs in Elkhart, IN

IT Sr. Analyst, AI Engineer

IT Analyst, AI Engineer

Wire Engineer

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