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Generative Ai Engineer Jobs in Indiana (NOW HIRING)

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

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Generative Ai Engineer information

See Indiana salary details

$36.2K

$110.3K

$182.2K

How much do generative ai engineer jobs pay per year?

As of Jul 2, 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 are the key skills and qualifications needed to thrive in the Generative Ai Engineer position, and why are they important?

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.

What are the typical projects or responsibilities for a Generative AI Engineer?

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 is a Generative AI Engineer job?

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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 76% In-person, 5% Hybrid, and 19% Remote job distribution, with an average salary of $110,252 per year, or $53 per hour.
Principal AI Engineer

Principal AI Engineer

MISO

Carmel, IN • On-site

$168K - $193K/yr

Full-time

Retirement, PTO

Posted 23 days ago

Job description

Help shape the future of energy through AI-driven insights!
At MISO, our Analytics and Forensics team is redefining how data powers the energy markets. We build and maintain advanced analytical assets that detect, investigate, and ultimately help prevent market risk events, strengthening reliability for 45 million people. This is more than an AI role. It's an opportunity to shape the future of energy markets. Your work will directly impact how risks are detected, analyzed, and prevented, helping ensure a reliable and resilient power grid.
We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting-edge AI solutions that unlock deeper insights into market behavior and drive innovation across the energy sector. You won't just build models, you'll build mission-critical intelligence that powers one of the most important infrastructures in the world.
Your responsibilities as our Principal AI Engineer will include:
  • Designing, building, and deploying AI-driven solutions, including ML models, generative AI applications, and intelligent agents.
  • Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to extract insights from structured and unstructured data.
  • Building scalable infrastructure and platforms to train and serve models at enterprise scale.
  • Prototyping and delivering minimal viable products (MVP), proofs of concept, and production-ready AI solutions.
  • Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and batch pipelines.
  • Evaluating and recommending emerging tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Vertex AI).
  • Applying AI to anomaly detection and market behavior analysis across electrical markets
  • Driving insights from unstructured sources.
  • Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques.

Experience needed for our Principal AI Engineer include:
  • A Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics or related field. Master's degree preferred.
  • 3+ years of real-world experience building AI.
  • 8-10 years of experience in building machine learning solutions in a professional environment.
  • Demonstrated experience across multiple disciplines such as:
    • Predictive modeling
    • Natural language processing
    • Data pipelines and automation
    • API development and integration
    • Data visualization and segmentation
    • Applied mathematical modeling
  • Proven ability to take ideas from concept to scalable production solutions.
  • Hands-on experience with generative AI and large language models (fine-tuning, RAG, prompt engineering, agent frameworks).

Some of the technical proficiencies needed for our Principal AI Engineer include:
  • Apache Spark, Databricks, or Synapse
  • Azure Data Factory & Azure Machine Learning Studio
  • MLflow and model lifecycle management
  • OpenAI and/or Hugging Face ecosystems
  • SQL and database querying
  • Docker and containerized deployments
  • R and Python (required)

Appropriate level will be determined based upon experience and knowledge.
Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. and through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future - it's what our immensely hardworking and dedicated team does every day.
The base salary compensation range being offered for this role is $168,000 - $193,000 USD annually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.
Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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