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Generative Ai Developer Jobs in Indiana (NOW HIRING)

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.

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 ...

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$84K - $111K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will strengthen our FinOps culture through shared accountability and transparency. You will build self ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Showing results 21-40

Generative Ai Developer information

See Indiana salary details

$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for generative ai developer in Indiana is $43.09, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $52.16 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 are popular job titles related to Generative Ai Developer jobs in Indiana?

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

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

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

What cities in Indiana are hiring for Generative Ai Developer jobs?

Cities in Indiana with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $89,637 per year, or $43.1 per hour.

AI Design Facilitator and Forward-Deployed Engineer II

Deloitte

Indianapolis, IN • On-site

$123K - $148K/yr

Full-time

Posted 28 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on August 31, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on August 31, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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