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Apprentice Generative Ai Engineer Jobs in Chicago, IL

Spruce Infotech

AI Engineer

Chicago, IL · On-site

Mandatory Skills * 3+ years of hands-on experience in AI/ML, Generative AI, intelligent automation ... Experience with data engineering, feature engineering, and data processing libraries (Pandas, NumPy ...

New

Expedia, Inc.

Senior AI Engineer

Chicago, IL · On-site

$171.50 - $240/hr

Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business ... Stay current with advancements in Generative AI, Agentic AI, and intelligent automation ...

Crowe LLP

Senior AI Engineer

Oakbrook Terrace, IL · On-site +1

$105K - $144K/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

Chicago, IL · On-site +1

$107K - $147K/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 ...

Pwc

AI Engineer

Chicago, IL · On-site

$50K - $112K/yr

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

Pwc

AI Engineer

Rosemont, IL

$50K - $112K/yr

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

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL

$105K - $139K/yr

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

Stefanini

Lead AI Engineer

Chicago, IL · On-site

$105K - $139K/yr

Proven experience designing and deploying AI/ML and Generative AI solutions in production, ideally ... Strong programming skills in Python; experience building APIs and microservices.Experience working ...

Zebra Technologies

Cloud AI Engineer, Lead

Lincolnshire, IL · On-site

$58.75 - $78.50/hr

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform ... Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning ...

Zebra Technologies

Cloud AI Engineer, Lead

Lincolnshire, IL · Hybrid

$58.75 - $78.50/hr

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform ... Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning ...

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI ...

Koitecc Solutions

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI ...

Stryker Corporation

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI ...

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI ...

Northern Trust Corp

Principal, AI Engineer

Chicago, IL · On-site

$137.40 - $233.60/hr

As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI platform ...

Northern Trust

Principal, AI Engineer

Chicago, IL

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade generative AI systems, the lead the design and implementation of secure, scalable, and compliant AI ...

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All JobsApprentice Generative Ai Engineer JobsApprentice Generative Ai Engineer Jobs in Chicago, IL

Apprentice Generative Ai Engineer information

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How much do apprentice generative ai engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for apprentice generative ai engineer in Chicago, IL is $18.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $22.55 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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:

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For Apprentice Generative Ai Engineer jobs in Chicago, IL, the most frequently searched job titles are:

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Apprentice Generative Ai Engineer jobs near you
Infographic showing various Apprentice Generative Ai Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $39,400 per year, or $18.9 per hour.

AI Engineer

Spruce Infotech

Chicago, IL • On-site

Contractor

Posted 2 days ago

New

Job description

Detailed job description - Skill Set:
• Lead the design and delivery of the agentic AI platform and prioritized agent roadmap for S2 2026, ensuring alignment with the committed portfolio, enterprise architecture standards, and measurable business outcomes
• Conduct a comprehensive assessment of the current Launch application enhancement backlog and identify opportunities where AI agents, automation, or generative AI capabilities can deliver significant productivity, quality, or user-experience improvements
• Partner closely with Launch Digital stakeholders, business SMEs, and technical teams to define, develop, and deploy AI-enabled solutions that address business needs and deliver measurable operational efficiencies
• Collaborate with the Infosys Launch ecosystem development team to evaluate existing application functionality, identify opportunities for rationalization or retirement enabled by new AI capabilities, and develop recommendations supported by business value, user impact, and technical feasibility analyses
• Develop business cases, implementation roadmaps, and success metrics for proposed AI solutions, ensuring clear prioritization and value realization
• Provide technical leadership and guidance on agent architecture, orchestration frameworks, data integration, governance, security, and responsible AI practices
Mandatory Skills
Education:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

Mandatory Skills
  1. 3+ years of hands-on experience in AI/ML, Generative AI, intelligent automation, or agentic AI solutions.
  2. Proven expertise in Python and AI/ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, LangChain, or equivalent).
  3. Strong background in data analysis, business process assessment, and large-scale data-driven decision making.
  4. Experience with data engineering, feature engineering, and data processing libraries (Pandas, NumPy, Spark).
  5. Demonstrated experience in designing and deploying AI-powered applications, agents, or automation solutions.
  6. Experience with LLMs, semantic search, embeddings, RAG, or vector-based retrieval methods.
  7. Deep understanding of AI architectures, orchestration frameworks, enterprise integrations, governance, security, and responsible AI principles.
  8. Experience with MLOps practices and tools (model versioning, experiment tracking, pipeline orchestration).
  9. Proficiency in SQL and working with large enterprise datasets.
  10. Strong problem-solving and analytical skills with the ability to evaluate complex business and technology challenges.
  11. Excellent communication skills; ability to explain AI concepts to both technical and non-technical stakeholders.
  12. Ability to collaborate effectively with cross-functional business and technology teams.

Preferred Skills
  1. Experience assessing application backlogs and identifying AI, automation, or GenAI opportunities.
  2. Experience in training, fine-tuning, and optimizing machine learning and foundation models.
  3. Experience with Agentic AI frameworks, prompt engineering, and workflow orchestration.
  4. Experience developing business cases, implementation roadmaps, and value realization metrics.
  5. Experience with semantic indexing, vector databases, and enterprise knowledge retrieval solutions.
  6. Familiarity with data visualization and analytics tools (Tableau, Power BI, Looker, etc.).
  7. Background in AI, NLP, information retrieval, or intelligent automation.
  8. Experience working on AI, digital transformation, or innovation-focused teams.

Nice-to-Have Skills
  1. Experience in enterprise AI transformation, platform modernization, or application rationalization initiatives.
  2. Knowledge of microservices architectures, event-driven systems, APIs, and CI/CD pipelines.

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