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Ai Integration Jobs in Indiana (NOW HIRING)

Deloitte

Google AI Lead Architect

Indianapolis, IN

$52.75 - $72.50/hr

Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...

Crowe LLP

Tax Artificial Intelligence Manager

South Bend, IN · On-site

$108K - $142K/yr

AI Integration & Document Processing * Guideintegrations with AzureFoundry, Azure AI Document Intelligence, and other Azure resourcesacross document-processing and AI-assisted analysis pipelines.

Leidos

Sr. Web Application Developer

Indianapolis, IN · On-site

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)

IQUASAR LLC

Web application developer

Crane, IN · On-site

$70/hr

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)

iQuasar LLC

Web application developer

Crane, IN · On-site

$70/hr

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)

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Ai Integration information

See Indiana salary details

$20.5K

$112.3K

$162.7K

How much do ai integration jobs pay per year?

As of Aug 2, 2026, the average yearly pay for ai integration in Indiana is $112,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $139,400.00 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 in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact on business or technology development.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What is an AI integration job?

An AI integration job involves implementing artificial intelligence systems into existing software or workflows to improve functionality or automate processes. It requires skills in programming, data analysis, and understanding AI tools and platforms. Professionals in this role often collaborate with development teams and may need knowledge of machine learning, APIs, and cloud services.

How much does an AI integration specialist make?

An AI integration specialist typically earns between $70,000 and $130,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, programming, and cloud platforms tend to have higher salaries, especially in tech-focused environments.

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

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

How to become an AI integration specialist with no experience?

To become an AI integration specialist with no experience, start by learning foundational skills in programming languages like Python and understanding AI concepts such as machine learning and APIs. Gaining hands-on experience through online courses, tutorials, and small projects helps build practical skills, while certifications in AI or cloud platforms can enhance your credentials. Entry-level roles may require demonstrating problem-solving abilities and familiarity with AI tools and frameworks.
What are popular job titles related to Ai Integration jobs in Indiana? For Ai Integration jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Integration jobs in Indiana look for? The top searched job categories for Ai Integration jobs in Indiana are:
What cities in Indiana are hiring for Ai Integration jobs? Cities in Indiana with the most Ai Integration job openings:
Ai Integration jobs near you
Infographic showing various Ai Integration 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 $112,272 per year, or $54 per hour.

Software Engineer II (.NET/C# - AI Integration Focused)

Spot Inc.

Indianapolis, IN • On-site

$99K - $133K/yr

Full-time

Re-posted 17 days ago

Job description

Today's logistics marketplace is an ever-changing landscape where you can make your mark. Spot gives you the tools to tackle industry challenges for our partners. Here, initiative, drive, and teamwork form the basis for a rewarding, fast-paced career.
About the Role:
In the Software Engineer II role, with a focus in AI Integration, you'll collaborate with a dynamic team to design and implement new features and integrations that expand the functionality of our platform using .NET and C#. As technology evolves, you will also be tasked with refining existing solutions, ensuring they remain efficient, scalable, and aligned with modern standards. Performance is key. You'll be responsible for coupling our broad technical ecosystem with emerging technologies such as AI Agents, Document Intelligence, Image Processing and more.
Responsibilities:
  • Integrate a variety of business workflows with AI services, using a fully programmatic approach.
  • Leverage the .NET ecosystem to achieve a performant, stable experience for our users.
  • Engineer efficient solutions and investigate questions around application performance and behavior.
  • Utilize source control in a collaborative environment to contribute code and to participate in code reviews.
  • Communicate effectively and often as barriers arise and as ideas surface.
  • Contribute to architectural decisions and technical design discussions.

Required Qualifications:
  • Four-year degree in CS or related field, or similar, relevant technical experience.
  • 5+ years of professional .NET/C# experience/exposure.
  • Expertise in building agentic AI workflows and autonomous AI systems
  • Familiarity with RAG pipelines, vector databases, and orchestration frameworks
  • Experience and interest in leveraging AI/LLM solutions for business goals.
  • Familiarity with Git and collaborative source control concepts.

Skills:
  • Ability to thrive in a fast-paced environment and meet performance metrics.
  • Strong conversational skills - persuasiveness, confidence, resilience.
  • Collaborative spirit, passion, self-motivation.
  • Organization and attention to detail.
  • Adaptability, multi-tasking ability, sense of urgency.
  • Confident decision-making skills, problem-solving ability, and issue resolution skills.

NOTE: This position is only available on-site 5 days per week at our Indianapolis, Chicago, or Tampa offices.
#LI-ZH1
Spot is built on relationships, combining 24/7 support with a proven, passionate, and dedicated team of logistics professionals. You can reach your true potential through the unlimited opportunities we offer. When you put in the effort, show initiative, solve problems, and build lasting client relationships, you earn respect and rewards. You'll also be a key component to the success of an industry leader. At Spot, we've never lost the entrepreneurial spirit that provides the foundation for our success.
Spot Freight, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Spot Freight is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a disability, you need a reasonable accommodation, please contact our Human Resources team to notify us of your request. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
S P O T logo

About S P O T

Sourced by ZipRecruiter

Industry

Offices of physical, occupational and speech therapists, and audiologists

Company size

11 - 50 Employees

Headquarters location

Redding, CA, US

Year founded

2019

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