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Generative Ai Engineer Jobs in Indiana (NOW HIRING)

Purple Drive

Senior AI/ML Engineer

Indianapolis, IN

$99K - $137K/yr

AI/ML Engineer: 10+ Years of Experience Skills AI/ML Strong Python Coding Experience LLM workflows ... generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and ...

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Required : • Strong proficiency in Python and ML frameworks (PyTorch| TensorFlow| scikit-learn) • Experience with LLMs| prompt engineering| and generative AI platforms • Hands-on knowledge of ...

Nerdy

AI Product Manager

Indianapolis, IN

Full-Stack Builder • Product-Minded Engineer • Customer-Obsessed Problem Solver Overview: We're ... Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems ...

INFOSYS NOVA HOLDINGS LLC

Lead Engineer

Indianapolis, IN · On-site

$97K - $129K/yr

The engineer will operate at the intersection of distributed systems engineering, applied machine learning infrastructure, AI security, and MLOps, translating experimental NLP and generative AI ...

Hearst

AI Product Architect Director

Indianapolis, IN · On-site

... generative AI capabilities, and translating them into real customer and business value. You will partner closely with Product, Engineering, and business stakeholders to shape priorities, validate ...

Deloitte

Oracle Gen AI Manager

Indianapolis, IN · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

... and generative artificial intelligence solutions. * Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and ...

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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 Jun 13, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, especially those specializing in artificial intelligence, machine learning, or cybersecurity, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes leadership responsibilities or stock options in tech companies.

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 do generative AI engineers do?

Generative AI engineers develop and optimize algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, neural networks, and large datasets to build models like GPT or GANs, often requiring skills in programming, data analysis, and deep learning tools. Their work involves designing, training, and fine-tuning models to ensure high-quality output for various applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, research scientist, or executive role, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic oversight. Compensation at this level reflects the value of expertise and impact on organizational innovation and growth.

Which 3 jobs will survive AI?

Generative AI engineers, healthcare professionals, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that AI cannot fully replicate. These jobs often involve creativity, empathy, or physical tasks, making them more resilient to automation and AI advancements.
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 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $110,252 per year, or $53 per hour.
Senior AI/ML Engineer

Senior AI/ML Engineer

E-Solutions Inc.

Indianapolis, IN • On-site

Other

Posted 5 days ago

Job description

AI/ML Engineer:
• Design, develop, and maintain scalable Python applications, libraries, and scripts for data pipelines, APIs, and LLM workflows, ensuring code quality and reusability.
• Craft, test, and optimize prompts for generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications.
• Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured data ingestion, transformation, and persistence across data lakes, warehouses, and RDS systems.
• Develop and operationalize LLM/transformer models via Hugging Face ecosystem; optimize inference pipelines for latency, scalability, and cost efficiency across cloud (AWS/GCP/Azure) and containerized environments (ECS/Fargate/Kubernetes).

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