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Ai Coder Jobs in Indiana (NOW HIRING)

Our code, our culture, our opportunities. Leading open innovation without limits. We are SUSE. SUSE ... AI Partner Marketing Always open. Our code, our culture, our opportunities. Leading open innovation ...

Senior React Native Software Engineer

Austin, IN · On-site

$127K - $159K/yr

Leverage AI coding agents and modern developer tooling to accelerate engineering velocity * Evaluate and improve workflows using AI-assisted development practices * Maintain strong engineering ...

Support early implementation, design reviews, code reviews, and complex troubleshooting when ambiguity, integration complexity, model behavior, security, responsible AI requirements, or emerging AI ...

Support early implementation, design reviews, code reviews, and complex troubleshooting when ambiguity, integration complexity, model behavior, security, responsible AI requirements, or emerging AI ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... coding, and vulnerability mitigation. * Proven ability to lead complex technical efforts, mentor ...

... code reviews, and complex troubleshooting when ambiguity, integration complexity, model behavior, security, responsible AI requirements, or emerging AI capabilities require senior technical judgment ...

... code assessments, and performance optimization across ML/AI pipelines and cloud environments. • Analyze existing workflows and recommend AI-driven enhancements, integrating Databricks for advanced ...

You can still ship code and own integrations end-to-end. * Data & Integration: Strong data ... You translate AI capability into measurable client outcomes. You prioritize client value over ...

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Showing results 1-20

Ai Coder information

See Indiana salary details

$15

$26

$41

How much do ai coder jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ai coder in Indiana is $26.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $32.93 per hour, depending on experience, location, and employer.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing a degree in computer science, data science, or related fields and working on AI projects or certifications can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized research organizations.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

Are AI coders in demand?

AI coders are in high demand due to the growing adoption of artificial intelligence across industries. Skills in machine learning, deep learning, and programming languages like Python are particularly valuable, and job opportunities are expected to increase as AI technology advances.

How much do AI coders make?

AI coders, also known as artificial intelligence software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior AI developers with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or companies with advanced AI projects.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

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

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
What are popular job titles related to Ai Coder jobs in Indiana? For Ai Coder jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Ai Coder jobs? Cities in Indiana with the most Ai Coder job openings:
Infographic showing various Ai Coder job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $54,412 per year, or $26.2 per hour.

AI Integration Consultant

Meraki7 Inc

Indianapolis, IN • On-site

Other

Posted 28 days ago


Job description

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

Location : Indianapolis
 

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

  • Bachelor’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.
  • Bachelor’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