Elkhart, IN

Data Jobs in Elkhart, IN

2 jobs found

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Today

IT Sr. Analyst, AI Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

Today

Full time Senior Agentic Ai Ai Engineer

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Job Description

Patrick Industries, Inc is seeking an IT Sr. Analyst, AI Engineer to design, develop, deploy, and support enterprise AI solutions and agentic applications. This onsite role in Elkhart, IN focuses on building scalable AI-enabled capabilities and integrations across the organization.

Role Overview

The IT Sr. Analyst, AI Engineer will partner with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver AI-enabled automation and measurable business value. Responsibilities span technical solution design, agentic workflow development, integration engineering, production support, and the creation of reusable frameworks and services.

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 to accelerate enterprise AI delivery
Produce 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 recommend options based on scalability, performance, reliability, and maintainability
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 align 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 AI capability implementation across 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

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

Location

Elkhart, IN (onsite)

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7d ago

IT Analyst, AI Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

7d ago

Full time AI Ai Engineering Ai Ml

Apply Now

Job Description

Patrick Industries, Inc is seeking an IT Analyst, AI Engineer to design, build, test, deploy, and support AI-enabled applications and integrations across the organization. This role works with product, platform, data engineering, and business stakeholders to deliver scalable, secure, and reliable AI solutions.

Responsibilities

Design, develop, test, and deploy AI-enabled applications, agents, and automation solutions
Build production-ready software components supporting enterprise AI initiatives
Implement AI workflows, agent orchestration, prompt engineering, and retrieval-augmented generation capabilities
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 and 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
Collaborate with business and technical teams to support end-to-end solution delivery
Develop data pipelines and supporting infrastructure required for AI applications and workflows
Partner 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 implementing enterprise AI and data platform standards
Support AI model utilization through reliable data architecture and engineering practices
Develop and maintain test cases, evaluation criteria, and regression testing processes for AI solutions
Validate AI outputs to ensure solution quality meets business and technical requirements
Implement monitoring and observability standards for AI applications, workflows, and integrations
Monitor latency, performance, reliability, and output quality in production environments
Support issue resolution, defect remediation, and ongoing production support activities
Continuously improve solution stability and operational performance
Apply DevOps 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 delivery 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 related to cost, scalability, performance, reliability, and maintainability
Evaluate technical 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 aligned with enterprise AI priorities and business transformation efforts
Contribute to automation, intelligent workflow, analytics, and AI-enabled business initiatives
Support development of capabilities across operations, supply chain, manufacturing, finance, and corporate functions
Assist with measurement and monitoring of solution adoption and business impact
Collaborate 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 development 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 development methodologies including Scrum and Kanban
Understanding of software architecture, system design, and engineering best practices
Experience with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments preferred
Familiarity with monitoring, observability, and application performance management concepts
Experience integrating AI solutions with enterprise systems and business processes preferred
Exposure to manufacturing, operations, supply chain, or industrial environments preferred
Experience in decentralized, multi-site, or acquisition-driven organizations preferred
Familiarity with MLOps, model deployment, monitoring, and lifecycle management is a plus
Exposure to C#, Rust, or KQL is a plus
Strong analytical, problem-solving, communication, and collaboration skills

Location

Elkhart, IN (onsite)

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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Data Jobs in Elkhart, IN

IT Sr. Analyst, AI Engineer

IT Analyst, AI Engineer

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