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Generative Ai Engineer Jobs in Indiana (NOW HIRING)

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

Info Way Solutions is seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across various domains. The role involves working with large language models and ...

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Generative Ai Engineer information

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$36.2K

$110.3K

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How much do generative ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for generative ai engineer in Indiana is $110,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Indiana?

The most popular types of Generative Ai Engineer jobs in Indiana are:

What are popular job titles related to Generative Ai Engineer jobs in Indiana?

For Generative Ai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Indiana look for?

The top searched job categories for Generative Ai Engineer jobs in Indiana are:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $110,252 per year, or $53 per hour.

Generative AI Engineer

Prophecy Technologies

Indianapolis, IN • On-site

Full-time

Posted 6 days ago

Job description

Role Overview:
Design, engineer, and implement enterprise-scale AI/ML and generative AI solutions for clinical data workflows. This role requires delivering secure, scalable architectures independently while maintaining accountability for project delivery and technical excellence.
Key Responsibilities:
  • Conceive, design, and implement AI solutions; analyze workflows and devise innovative technical approaches.
  • Design secure, scalable architectures for AI/ML, generative AI, and agentic solutions.
  • Design and implement emerging AI technologies such as RAG, agentic workflows, and agent-to-agent communication.
  • Build and deploy predictive analytics and generative AI solutions to production environments.
  • Develop robust data/model pipelines, APIs, and integration layers; establish AI/MLOps best practices.
  • Implement CI/CD, monitoring, and observability for AI/ML systems.
  • Own project scope and delivery accountability.

Required Skills:
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda, RDS, Glue, Athena, DynamoDB, Postgres), Databricks (Platform, Delta Lake, Spark, MLflow, SQL).
  • Programming Languages & ML: Python, PySpark, SQL.
  • DevOps & Infrastructure: Git, CI/CD, Docker, Kubernetes, IaC (Terraform/CloudFormation).
  • AI/Data Technologies: Generative AI frameworks, Large Language Models (LLMs), vector databases, Apache Spark.

Qualifications:
  • Bachelor's degree (BS) in Computer Science, Engineering, Mathematics, Statistics or equivalent professional experience.
  • 5+ years of experience in software, data, or ML engineering.
  • 3+ years of experience deploying ML solutions in production environments.

Preferred Skills:
  • Digital Artificial Intelligence (AI) expertise.

Apply