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Generative Ai Developer Jobs in Columbus, IN (NOW HIRING)

Machine Learning and Generative AI for Advanced Analytics Solutions; Define DevOps and incorporate Code Analysis to ensure Security of application; Data Extraction, Modeling, Literacy, Communication ...

Machine Learning and Generative AI for Advanced Analytics Solutions; Define DevOps and incorporate Code Analysis to ensure Security of application; Data Extraction, Modeling, Literacy, Communication ...

Machine Learning and Generative AI for Advanced Analytics Solutions; Define DevOps and incorporate Code Analysis to ensure Security of application; Data Extraction, Modeling, Literacy, Communication ...

Machine Learning and Generative AI for Advanced Analytics Solutions; Define DevOps and incorporate Code Analysis to ensure Security of application; Data Extraction, Modeling, Literacy, Communication ...

Machine Learning and Generative AI for Advanced Analytics Solutions; Define DevOps and incorporate Code Analysis to ensure Security of application; Data Extraction, Modeling, Literacy, Communication ...

Generative Ai Developer information

See Columbus, IN salary details

$17

$42

$93

How much do generative ai developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for generative ai developer in Columbus, IN is $42.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $50.96 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Columbus, IN look for?

The top searched job categories for Generative Ai Developer jobs in Columbus, IN are:

What cities near Columbus, IN are hiring for Generative Ai Developer jobs?

Cities near Columbus, IN with the most Generative Ai Developer job openings:

Solution Architect Principals #IN1255

Cummins Inc.

Columbus, IN • On-site

$146K - $170K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Assess and apply new solution designs against architecture strategies, principles, policies, and standards.

  • Define and develop architecture solutions, deliverables, artifacts, and building blocks to support system transformation.

  • Collaborate with project and product teams to understand capabilities and ensure solution compliance and performance.


Cummins rating

8.2

Company rating: 8.2 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers


Job description

Assess and apply new solution designs against defined architecture strategies, principles, policies and standards in alignment with the enterprise architecture strategies. Define new architecture solutions where needs are identified. Define complex application and solution designs for specific systems in coordination with project teams. Define and develop architecture deliverables, artifacts and building blocks by applying architecture principles by using an architecture development framework and methodology that enables the organization to transform the design of its systems in a controlled manner in response to business needs. Define component breakdown of the system, perform functional allocation to components, and establish interface between systems and among system components. Compose and decompose a system into component parts using Solution Functional Fit analysis to study how well the components were designed and configured to interact holistically to meet business requirements. Develop standards, design patterns and configurations that can be reused as building blocks for other solutions. Utilize Machine Learning and Generative AI to build Advanced Analytics Solutions for the business. Define operating models and deployment patterns utilizing tools like GitHub, Jenkins, Copado, SonarQube, etc. Define DevOps and incorporate Code Analysis to ensure Security of application. Utilize data analysis tools such as extraction, modeling, communication, and management to deliver reporting and dashboard solutions to business needs. Collaborate with project and product teams to understand requested capabilities and provide correct solutions. Perform complex cost/benefit analysis when researching future state capabilities. Audit solution design to ensure compliance with architectural patterns and standards. Monitor architecture solution performance and prevent performance issues when introducing new capabilities to the system. Create System Solution Architecture designs and patterns using CLEAN standards, and existing reference patterns to maintain alignment to Cummins standards. Collaborate with stakeholders, including functional excellence teams, to apply strategy to future state architecture. Maintain knowledge of emerging technology and focus on driving comparative advantage for the product, function, and global business unit

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

Start Date of Posting: 8/27/26

End Date of Posting: 9/11/26

Location: Columbus, IN & Various unanticipated locations throughout the U.S.

ROLE TYPE: Hybrid

*Annual USD Salary Minimum - Maximum 

$146,000 - $170,000

Positions require a Master's degree in Information Systems or Technology, Data or Computer Science, or related field, and 3 years of experience as an IT Analyst, Software Developer or Architect, or related position. Alternatively, the employer will accept a Bachelor's degree in Information Systems or Technology, Data or Computer Science, or related field, and 6 years of experience as an IT Analyst, Software Developer or Architect, or related position. Experience to include: Complex Application and Solution Design; Architecture development framework and methodology to design systems; Perform functional allocation to system components; Solution Functional Fit analysis; Machine Learning and Generative AI for Advanced Analytics Solutions; Define DevOps and incorporate Code Analysis to ensure Security of application; Data Extraction, Modeling, Literacy, Communication and Visualization; Ensure compliance with architectural patterns and standards; Monitor system performance; System solution architecture designs using CLEAN standards.


What Cummins employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919