ZipRecruiter

Log In

1

Ai Agent Engineer Jobs in Indiana (NOW HIRING)

Humana

Lead, Offensive Security

Indianapolis, IN · On-site

Contributing practitioner requirements to, or extending, agentic AI offensive tooling (multi-agent orchestration, MCP servers, LLM-as-judge) built by an AI-engineering team. * Deeper adversarial ML ...

New

ASCENSUS

Senior Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

This is a mid-level software engineering role for someone who is strong in core engineering ... AI-powered applications and agents * Retrieval-augmented generation, or RAG, pipelines * Agent ...

Hylant

Lead Data & Analytics Architect

Indianapolis, IN · On-site

... engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as operational efficiency, adoption of self-service data products, and AI agent ...

Hylant

Lead Data & Analytics Architect

Fort Wayne, IN · On-site

... engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as operational efficiency, adoption of self-service data products, and AI agent ...

Agilent

$172K - $269K/yr

Build Agentic AI Workflows: Develop and implement multi-agent AI workflows to automate code ... Experience: 8+ years in software engineering, including a minimum of 3 years in AI application ...

previous page

Showing results 41-60

All JobsAi Agent Engineer JobsAi Agent Engineer Jobs in Indiana

Ai Agent Engineer information

See Indiana salary details

$24

$51

$72

How much do ai agent engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai agent engineer in Indiana is $51.03, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $59.23 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are popular job titles related to Ai Agent Engineer jobs in Indiana? For Ai Agent Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Agent Engineer jobs in Indiana look for? The top searched job categories for Ai Agent Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Agent Engineer jobs? Cities in Indiana with the most Ai Agent Engineer job openings:
Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Indiana as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $106,149 per year, or $51 per hour.

IT Analyst, AI Engineer

Patrick Industries

Elkhart, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Patrick Industries rating

6.3

Company rating: 6.3 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

488th of 537 rated manufacturers

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 Analyst, AI Engineer is responsible for designing, building, testing, deploying, and supporting AI-enabled applications, integrations, and agentic solutions across Patrick Industries. As a hands-on engineering role within the Agile AI Factory, this position develops production-ready AI capabilities that automate business processes, enhance decision-making, and integrate AI technologies with enterprise systems. The AI Engineer partners closely with product managers, platform engineers, data engineers, and business stakeholders to deliver scalable, secure, and reliable AI solutions that support enterprise objectives.
Responsibilities & Duties:
AI Solution Development
  • Design, develop, test, and deploy AI-enabled applications, agents, and automation solutions
  • Build production-ready software components that support enterprise AI initiatives
  • Implement AI workflows, agent orchestration, prompt engineering, and retrieval-augmented generation capabilities
  • Translate business and technical requirements into scalable software solutions
  • Develop reusable components and integration patterns that accelerate future AI delivery
  • Create and maintain technical documentation for solutions, integrations, and development standards

Application & Systems Integration
  • Build integrations between AI platforms and enterprise systems, including ERP, business applications, and operational technologies
  • Develop APIs, services, and integration layers that enable secure and reliable information exchange
  • Support connectivity between AI solutions, data platforms, and business applications
  • Troubleshoot integration issues impacting 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

Data Engineering & AI Enablement
  • Develop data pipelines and supporting infrastructure required for AI applications and workflows
  • Partner with Data Engineering teams to ensure data quality, availability, and readiness
  • Support ingestion, transformation, and preparation of data for AI and analytics use cases
  • Design solutions that optimize data accuracy, performance, and scalability
  • Assist with implementation of enterprise AI and data platform standards
  • Support AI model utilization through reliable data architecture and engineering practices

Solution Quality, Testing & Monitoring
  • 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 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

DevOps & Agile Delivery
  • 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 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

Engineering Design & Technical Contribution
  • 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 development of 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

AI Initiative Execution
  • Deliver technology solutions that support 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

Qualifications and Skills:
  • 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

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.
Location:

What Patrick Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply