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Generative Ai Developer Jobs in Chicago, IL (NOW HIRING)

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... processing, or generative artificial intelligence solutions. * 2+ years of experience using ...

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... Partner with Product, Data, and Engineering to establish standards around safety, compliance, and ...

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... Partner with Product, Data, and Engineering to establish standards around safety, compliance, and ...

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or ... Experience architecting scalable enterprise AI solutions and generative AI pipelines (e.g., Large ...

AI Strategy Lead

Chicago, IL · On-site

$192 - $278/hr

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or ... Experience architecting scalable enterprise AI solutions and generative AI pipelines (e.g., Large ...

Identify opportunities to leverage AI (ML, NLP, generative AI) to solve user problems and create novel, delightful experiences. * Collaborate with product managers, engineers, and other stakeholders ...

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

Senior AI/ML Solutions Engineer

Chicago, IL

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

Senior AI/ML Solutions Engineer

Chicago, IL

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills Data science; statistical modeling; machine learning; generative AI; agentic AI; NLP; LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL ...

Define solution architectures that integrate LLMs, generative AI, and traditional ML with ... Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record ...

Senior AI Machine Learning Engineer

Chicago, IL · On-site

$126K - $166K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Support the initial build-out of generative AI and agentic AI solutions, including prompt ...

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Generative AI Other skills: AWS, Machine Learning, Cloud & Data Engineering Years Of Experience: 11 to 15 Years Role Summary & Objectives * Translate business automation and efficiency goals into ...

Showing results 41-60

Generative Ai Developer information

See Chicago, IL salary details

$19

$46

$104

How much do generative ai developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for generative ai developer in Chicago, IL is $46.69, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $56.49 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 Chicago, IL look for?

The top searched job categories for Generative Ai Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Generative Ai Developer jobs?

Cities near Chicago, IL with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $97,116 per year, or $46.7 per hour.

Lead Generative AI Data Engineer III

Deloitte

Chicago, IL

$105K - $139K/yr

Full-time

Re-posted 22 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description


Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • 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.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors 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 $159,100 to $265,100.

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.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • 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.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors 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 $159,100 to $265,100.

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.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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