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Supportability Engineer Jobs in Indiana (NOW HIRING)

Precise Systems

Senior Logistician

Crane, IN · On-site

This role is ideal for an experienced logistics professional who can work across engineering, sustainment, supply, maintenance, and program teams to improve readiness, supportability, and lifecycle ...

Precise Systems

Senior Logistician

Crane, IN · On-site

This role is ideal for an experienced logistics professional who can work across engineering, sustainment, supply, maintenance, and program teams to improve readiness, supportability, and lifecycle ...

Precise Systems (MD)

Senior Logistician

Crane, IN · On-site

This role is ideal for an experienced logistics professional who can work across engineering, sustainment, supply, maintenance, and program teams to improve readiness, supportability, and lifecycle ...

Precise Systems

Systems Engineer

Odon, IN · On-site

... supportability, obsolescence, fielding, and transition to operational use. Required Education: · Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Mechanical ...

Precise Systems

Systems Engineer

Crane, IN · On-site

... supportability, obsolescence, fielding, and transition to operational use. Required Education: • Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Mechanical ...

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Showing results 1-20

All JobsSupportability Engineer JobsSupportability Engineer Jobs in Indiana

Supportability Engineer information

See Indiana salary details

$31.4K

$89.5K

$138.5K

How much do supportability engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for supportability engineer in Indiana is $89,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $103,200.00 per year, depending on experience, location, and employer.

What is a supportability engineer?

A Supportability Engineer is a professional who focuses on ensuring that products and systems are easy to maintain, support, and troubleshoot after they are deployed. They work closely with design, development, and support teams to identify potential issues, develop support documentation, and implement solutions that enhance the product's reliability and customer satisfaction. Their responsibilities often include analyzing product failures, recommending design improvements, and creating tools or processes to streamline customer support. By proactively addressing support-related challenges, Supportability Engineers help reduce downtime and improve the user experience.

How does a supportability engineer typically collaborate with product development and customer support teams?

Supportability Engineers play a critical role in bridging the gap between product development and customer support. They work closely with development teams to identify and address product issues that may impact customer experience, often providing feedback on design for easier troubleshooting and maintenance. Additionally, they partner with customer support teams to analyze common support cases, develop diagnostic tools, and create documentation to enhance self-service. This collaborative environment ensures that both product quality and customer satisfaction are continually improved.

What are the key skills and qualifications needed to thrive as a supportability engineer, and why are they important?

To excel as a Supportability Engineer, you need a solid background in systems engineering, troubleshooting, and product lifecycle management, often supported by a degree in engineering or a related field. Familiarity with diagnostic tools, failure analysis software, and maintenance documentation systems is typically required. Strong problem-solving skills, excellent communication, and a customer-focused mindset help you collaborate effectively with development and support teams. These competencies are crucial for ensuring products are maintainable, reliable, and efficiently supported throughout their lifecycle.

What is the difference between Supportability Engineer vs Technical Support Engineer?

AspectSupportability EngineerTechnical Support Engineer
Required CredentialsBachelor's in Engineering, certifications in support or systemsBachelor's in IT, computer science, or related field
Work EnvironmentProduct development, troubleshooting, and support for complex systemsCustomer-facing support, troubleshooting hardware/software issues
Employer & Industry UsageTech, manufacturing, and software companiesIT services, tech companies, hardware vendors
Common Search & ComparisonSupportability Engineer vs Technical Support Engineer

The Supportability Engineer focuses on improving product supportability, analyzing issues, and developing solutions for complex systems. In contrast, the Technical Support Engineer primarily assists customers directly with troubleshooting hardware and software problems. Both roles require technical knowledge, but Supportability Engineers are more involved in product development and support process improvements, while Technical Support Engineers focus on customer service and issue resolution.

What are popular job titles related to Supportability Engineer jobs in Indiana?

For Supportability Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Supportability Engineer jobs in Indiana look for?

The top searched job categories for Supportability Engineer jobs in Indiana are:

What cities in Indiana are hiring for Supportability Engineer jobs?

Cities in Indiana with the most Supportability Engineer job openings:

Supportability Engineer jobs near you
Infographic showing various Supportability Engineer job openings in Indiana as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $89,475 per year, or $43 per hour.

IT Sr. Analyst, AI Engineer

Elkhart, IN • On-site

Patrick Industries
Construction Materials Wholesalers • 1 - 5K employees
Learn more about Patrick Industriesexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

Job 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
  • 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

Data Engineering & AI Enablement
  • 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

Solution Quality, Monitoring & Production Support
  • 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

DevOps & Agile Delivery
  • 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

Technical Leadership & Innovation
  • 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

Qualifications and Skills:
  • 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

Benefits Include:
Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement
At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.
Patrick is an Equal Opportunity Employer.
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