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Ai Integration Engineer Jobs in Indiana (NOW HIRING)

Leidos

Sr. Web Application Developer

Indianapolis, IN · On-site

... engineer. This role requires a well-rounded full-stack background across modern web technologies ... Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)

Precinmac

AI Engineer

Indianapolis, IN · On-site

Integrate AI systems with existing IT infrastructure and ensure seamless operation. Ensure AI ... Engineering, Operations, support functions, and other IT professionals. * Design, develop, and ...

Leidos

Sr. Web Application Developer

Indianapolis, IN · On-site

... engineer. This role requires a well-rounded full-stack background across modern web technologies ... Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)

Aircall

AI Productivity Engineer

Francisco, IN · Remote

Experience integrating AI with large codebases, monorepos, or complex CI/CD environments * Exposure ... Engineering productivity measurably improves , using: * existing metrics we already track (e.g.

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

MISO is hiring an AI Engineer to build innovative AI-powered solutions that directly influence how ... Experience integrating AI/LLM tools such as OpenAI, Azure OpenAI, or Anthropic APIs into ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and batch pipelines. * Evaluating and recommending emerging tools, frameworks, and APIs (e.g., OpenAI ...

System One

Sr. Web Application Developer

Indianapolis, IN · On-site

$57.65/hr

Design and implement AI-enabled application features, including integration with LLMs and AI APIs ... Mentor developers across multiple technology stacks, lead code reviews, architecture reviews, and ...

System One

Sr. Web Application Developer

Indianapolis, IN · On-site

$57.65/hr

Design and implement AI-enabled application features, including integration with LLMs and AI APIs ... Mentor developers across multiple technology stacks, lead code reviews, architecture reviews, and ...

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Showing results 1-20

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Indiana

Ai Integration Engineer information

See Indiana salary details

$42.3K

$118.3K

$165.1K

How much do ai integration engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai integration engineer in Indiana is $118,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

What are some common challenges faced by AI Integration Engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

What are the key skills and qualifications needed to thrive as an AI Integration Engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.
What are popular job titles related to Ai Integration Engineer jobs in Indiana? For Ai Integration Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Integration Engineer jobs in Indiana look for? The top searched job categories for Ai Integration Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Integration Engineer jobs? Cities in Indiana with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,256 per year, or $56.9 per hour.
Sr. Web Application Developer

Sr. Web Application Developer

Leidos

Indianapolis, IN • On-site

Full-time

Posted yesterday

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 451 rated business services

Job description

We are seeking a highly experienced Senior Web Application Developer to serve as a technical leader, client liaison, and AI-enabled solutions engineer. This role requires a well-rounded full-stack background across modern web technologies, including but not limited to .NET/C#, JavaScript frameworks, cloud-native architectures, and emerging AI/ML integrations.
The ideal candidate brings 8+ years of experience building scalable web applications, combined with hands-on experience incorporating AI/ML capabilities (e.g., generative AI, APIs, or data-driven models) into production systems. This individual will act as a trusted advisor to clients, shaping technical direction while leading engineering teams to deliver innovative, secure, and high-performing solutions.
Primary Responsibilities
Full-Stack Architecture & Technical Leadership
  • Lead the architecture, design, and development of modern web applications across a diverse technology stack, including .NET/C#, Node.js, and front-end frameworks (React, Angular, Vue).
  • Design and implement scalable, cloud-native solutions using microservices and serverless architectures.
  • Establish and enforce engineering best practices, coding standards, and architectural patterns across teams.

AI/ML Integration & Intelligent Solutions
  • Design and implement AI-enabled application features, such as:
    • Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)
    • Intelligent search, summarization, recommendation systems, or automation workflows
  • Collaborate with stakeholders to identify opportunities where AI can enhance user experience, decision-making, or operational efficiency.
  • Ensure responsible and secure use of AI technologies, including data privacy, governance, and model evaluation.

Client Engagement & Technical Strategy
  • Serve as a primary technical interface to clients, translating business needs into scalable technical solutions.
  • Lead solutioning sessions, architecture discussions, and technical briefings with stakeholders.
  • Provide strategic guidance on modern web technologies, cloud adoption, and AI integration.
  • Build strong client relationships as a trusted technical advisor.

Advanced Web Application & API Development
  • Oversee development of secure, high-performance web applications and RESTful APIs.
  • Ensure interoperability and cross-platform integration across systems.
  • Drive best practices in API design, versioning, and performance optimization.

Cloud & DevOps Enablement
  • Architect and deploy applications in AWS and Azure, leveraging serverless and containerized services.
  • Lead CI/CD pipeline implementation and DevSecOps practices.
  • Optimize systems for scalability, reliability, and cost efficiency in cloud environments.

Team Leadership & Mentorship
  • Mentor developers across multiple technology stacks, not limited to .NET.
  • Lead code reviews, architecture reviews, and technical decision-making.
  • Foster a culture of innovation, continuous learning, and engineering excellence.

Security, Performance & Quality
  • Ensure applications meet modern security standards, including secure API design and cloud security best practices.
  • Implement comprehensive testing strategies and performance monitoring.
  • Continuously improve system resilience, scalability, and maintainability.

UI/UX & Modern Web Practices
  • Collaborate with UI/UX teams to deliver responsive, accessible, and user-centric applications.
  • Drive adoption of modern front-end architecture and performance optimization techniques.

Innovation & Continuous Improvement
  • Stay current with emerging web and AI technologies, evaluating their applicability to client missions.
  • Introduce new tools, frameworks, and AI capabilities to improve delivery and innovation.

Basic Qualifications
  • Must be able to obtain a Public Trust prior to starting (US Citizenship Required).
  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field (or equivalent experience).
  • 8+ years of experience in full-stack web application development, including .NET/C# and modern JavaScript frameworks.
  • Demonstrated experience working across multiple web technologies beyond .NET (e.g., Node.js, Python, or similar).
  • Strong hands-on experience with T-SQL, including writing and optimizing SQL queries, stored procedures, triggers, functions, and other database objects.
  • Demonstrated commitment to built-in quality, including developing reliable, maintainable, and well-tested solutions that meet performance, security, and coding standards.
  • Ability to follow development best practices, conduct code reviews, troubleshoot issues, and ensure deliverables meet quality expectations throughout the development lifecycle.
  • Hands-on experience integrating or developing AI/ML capabilities, such as:
    • Working with AI APIs (Azure OpenAI, AWS Bedrock, etc.)
    • Implementing data-driven or intelligent application features
  • Strong experience with AWS and/or Azure cloud platforms, including serverless architectures.
  • Deep understanding of web architecture, microservices, and RESTful API design.
  • Experience with SQL and NoSQL databases.
  • Proven ability to lead teams and engage directly with clients.
  • Strong communication skills with the ability to bridge business needs and technical solutions.
  • Knowledge of secure application development and cloud security practices.

Preferred Qualifications
  • Certifications in AWS, Azure, or AI/ML-related technologies.
  • Experience building or integrating generative AI solutions in production environments.
  • Familiarity with Python for AI/ML workflows.
  • Experience with DevSecOps, CI/CD pipelines, and automation tools.
  • Prior experience in client-facing technical leadership roles within complex or mission-driven environments.

AppMod
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 16, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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