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

AWS + Generative AI Engineer

Chicago, IL ยท On-site

$66.75 - $87.50/hr

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine ...

AI Engineer

Chicago, IL ยท On-site

$100K - $120K/yr

... Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents โ€ข Solid ... understanding of data engineering concepts, SQL/NoSQL, and feature pipelines โ€ข Experience ...

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

AI Engineer

Chicago, IL ยท On-site

$100K - $120K/yr

A Lead engineer responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models ...

Senior AI Engineer

Chicago, IL ยท On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... Applying modern engineering practices for production AI systems, including containerized services ...

Senior AI Engineer

Chicago, IL ยท On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... Applying modern engineering practices for production AI systems, including containerized services ...

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Generative Ai Engineer information

See Chicago, IL salary details

$39.1K

$119.4K

$197.3K

How much do generative ai engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for generative ai engineer in Chicago, IL is $119,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $156,100.00 per year, depending on experience, location, and employer.

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.

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 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 are the most commonly searched types of Generative Ai Engineer jobs in Chicago, IL? The most popular types of Generative Ai Engineer jobs in Chicago, IL are:
What job categories do people searching Generative Ai Engineer jobs in Chicago, IL look for? The top searched job categories for Generative Ai Engineer jobs in Chicago, IL are:
Infographic showing various Generative Ai Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $119,357 per year, or $57.4 per hour.

AWS + Generative AI Engineer

TekCommands Inc

Chicago, IL โ€ข On-site

$66.75 - $87.50/hr

Contractor

Posted 22 days ago


Job description

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures. This role involves building enterprise AI solutions, developing data pipelines, and collaborating with cross-functional teams to deliver innovative cloud applications.

Top 3 Required Skills

  1. AWS Cloud & Machine Learning
  2. AWS Bedrock & Generative AI
  3. AWS Data Pipelines & Infrastructure Automation

Key Responsibilities

  • Design and develop cloud-native applications using AWS services.
  • Build and deploy Generative AI solutions using AWS Bedrock.
  • Design and implement machine learning workflows, model deployment, and monitoring.
  • Develop scalable data pipelines for analytics and AI workloads.
  • Configure and manage AWS Config and governance policies to ensure security and compliance.
  • Design secure, reliable, and cost-effective AWS architectures.
  • Collaborate with data engineers, data scientists, and application teams to deliver AI-powered solutions.
  • Implement Infrastructure as Code (IaC) and cloud automation.
  • Optimize AWS environments for performance, scalability, and cost.
  • Document architecture, technical designs, and best practices.
  • Mentor engineering teams on AWS and Generative AI technologies.

Required Skills

  • 12–16 years of experience in Cloud Engineering, Solution Architecture, or Enterprise Architecture.
  • Strong hands-on experience with Amazon Web Services (AWS).
  • Experience with:
    • AWS Bedrock
    • AWS Machine Learning Services
    • AWS Data Pipeline or similar orchestration tools
    • AWS Config
  • Strong knowledge of Generative AI and Large Language Models (LLMs).
  • Experience designing cloud-native and distributed applications.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Strong understanding of cloud security, governance, and identity management.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with AWS-based commerce platforms.
  • Knowledge of AI/ML model deployment and lifecycle management.
  • Experience with cloud automation and DevOps practices.
  • Experience with Python or other scripting languages.

Certifications

  • AWS Certified Solutions Architect – Professional or
  • AWS Certified Machine Learning – Specialty or equivalent AWS certification