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Ai Integration Jobs in Indiana (NOW HIRING)

AI Integration Consultant - Research Labs / Learning & Development Duration: 18 Months Contract Location : Indianapolis Key Responsibilities 1. Process & Workflow Automation * Develop and maintain ...

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 ...

Tax Artificial Intelligence Manager

South Bend, IN ยท 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.

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)

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)

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)

$183K - $286K/yr

Experience integrating AI/ML inference services and data pipelines through governed integration patterns * Background working across organizational boundaries, integrating systems owned by separate ...

Design and implement AI-enabled application features, including integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms). * Develop intelligent search, summarization ...

Integrate AI by developing prompts, leveraging AI for repetitive tasks, and creating training strategies for AI-based tools. * Co-create and maintain documentation, including master documents and ...

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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 Jun 28, 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 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. It requires skills in programming, data analysis, and understanding AI tools like machine learning models or APIs to ensure seamless integration and functionality.

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.

What job makes $10,000 a month without a degree?

In AI integration roles, professionals such as AI developers, machine learning engineers, or data scientists can earn $10,000 or more monthly through skills in programming, data analysis, and AI tools. These positions often require strong technical expertise and experience rather than formal degrees, with many earning high salaries through freelance work, consulting, or working in tech companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What jobs pay 2000 a day?

High-paying jobs that can reach $2,000 a day often include roles such as specialized consultants, senior software engineers, data scientists, and certain executive positions. These roles typically require advanced skills, extensive experience, and often involve freelance, contract, or project-based work in industries like technology, finance, or consulting.
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 cities in Indiana are hiring for Ai Integration jobs? Cities in Indiana with the most Ai Integration job openings:
Infographic showing various Ai Integration job openings in Indiana as of June 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.

AI Integration Consultant

Meraki7 Inc

Indianapolis, IN โ€ข On-site

Other

Posted 13 days ago


Job description

Role Focus: AI Integration Consultant โ€“ Research Labs / Learning & Development
Duration: 18 Months Contract

Location : Indianapolis
ย 

Key Responsibilities

1. Process & Workflow Automation

  • Develop and maintain automated workflows using ServiceNow, Power Automate, and Smartsheet to support learning processes.
  • Design and build ServiceNow catalog items, workflows, and service portal solutions for Research Laboratories L&D service requests.
  • Own and maintain current workflow solutions and SharePoint lists.
  • Monitor and manage the RL L&D technology request form, including triaging and responding to incoming requests.
  • Collaborate with internal automation teams to develop, optimize, and improve workflow solutions.

2. AI Solutions Development

  • Develop AI-powered solutions to improve L&D processes using Microsoft Copilot, Copilot Studio, Copilot Agents, Claude, Claude Code, or similar tools.
  • Create Copilot Agents and custom AI assistants to support L&D operations and learner experiences.
  • Use Claude and Claude Code for development automation and process improvement.
  • Recommend and implement AI tools to improve content generation, data analysis, learner support, and operational efficiency.
  • Stay updated on emerging AI technologies and provide recommendations for adoption.

3. Technology Implementation & Learning Technology Support

  • Support Learning Process and Technology team members with key initiatives and technology tool development.
  • Consult with L&D stakeholders on the best technology solutions to improve efficiency.
  • Provide project support and technical expertise for learning technology implementations.
  • Drive the development and delivery of technology solutions in collaboration with the RL L&D team.
  • Support LMS administration and reporting needs, preferably with SAP SuccessFactors Learning.

4. Cross-Functional Collaboration

  • Work closely with the Technology Lead and Data Metrics Strategy Lead to align technology solutions with organizational priorities.
  • Collaborate with other Learning & Development groups to implement shared technology solutions.
  • Partner with enterprise technology teams and IT to ensure alignment with corporate standards and infrastructure.
  • Provide consultation on learning technology projects and implementation best practices.

5. Web Server & Content Management

  • Manage and maintain content on RL L&D web servers in compliance with client policies.
  • Support the RL L&D learning content server and related infrastructure.
  • Ensure web content meets accessibility, security, and organizational standards.

6. Document, Knowledge & Data Management

  • Support document and knowledge management initiatives within RL L&D.
  • Develop and maintain SharePoint sites and knowledge repositories for performance support materials.
  • Consult with business partners on knowledge management best practices and solutions.
  • Support data management practices to ensure information accuracy, accessibility, and usability.

Minimum Qualifications

  • Bachelorโ€™s degree or higher in Technology Management, Information Systems, Computer Science, or a related field.
  • 3+ years of hands-on experience with process automation tools such as ServiceNow, Power Automate, and Smartsheet.
  • Experience developing ServiceNow catalogs, workflows, and service portal solutions.
  • Proven experience with Microsoft Power Platform, especially Power Automate and Power Apps.
  • Experience with web server management and content administration.
  • Demonstrated ability to scope, lead, and deliver technology projects.
  • Experience implementing or supporting learning technology projects.

Must-Have Skills

  • 3+ years of hands-on experience with ServiceNow, Power Automate, and Smartsheet for process and workflow automation.
  • Strong ServiceNow development experience, including catalog items, workflows, and service portal solutions.
  • Proven expertise with Microsoft Power Platform, particularly Power Automate and Power Apps.
  • Experience implementing and supporting learning technology solutions, ideally LMS platforms such as SAP SuccessFactors Learning.
  • Experience developing AI-enabled solutions using Microsoft Copilot, Copilot Studio, Copilot Agents, Claude, Claude Code, or similar AI technologies.
  • Bachelorโ€™s degree or higher in Technology Management, Information Systems, Computer Science, or related programs.

Nice-to-Have Skills

  • Pharmaceutical or life sciences industry experience.
  • CRO industry experience.
  • SharePoint administration and development experience.
  • Web server and content management experience.
  • Programming skills in JavaScript, Python, SQL, JSON, HTML, or CSS.
  • SuccessFactors Learning administration and reporting experience.
  • Working knowledge of regulated pharmaceutical environments.
  • Experience managing multiple projects simultaneously.
  • Strong problem-solving and stakeholder management skills.
  • Ability to influence without authority.
  • Strong communication skills and ability to build trust with internal and external partners.

Target Candidate Background

Ideal candidates may come from:

  • Pharmaceutical companies
  • Life sciences companies
  • CROs
  • Regulated technology environments
  • L&D technology teams
  • ServiceNow / Power Platform automation teams
  • Learning technology implementation teams