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Generative Ai Testing Jobs in Illinois (NOW HIRING)

James Hardie

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

Epitec

(AI) Strategist

Chicago, IL · On-site

$125K - $161K/yr

Proven capacity to manage a project plan through development, testing, and piloting stages across ... Familiarity with AI development lifecycles, generative AI tools, and LLM frameworks, specifically ...

New

Kirkland & Ellis LLP.

AI Innovation Advisor

Chicago, IL · On-site

  • Medical

  • Retirement

  • PTO

... generative AI capabilities, limitations, and firm governance requirements. • Coordinate tasks, timelines, and stakeholders for AI workflow development initiatives. Workflow Development & Testing ...

Caterpillar

Senior Software Engineer, AI & Salesforce

Peoria, IL · On-site

$120K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... testing, and maintaining Salesforce and AI-powered solutions that support Caterpillar's digital ... Apply Generative AI, Agentic AI technologies to solve complex business and engineering challenges ...

Neura Market

Solutions architect (Central)

Chicago, IL · On-site

$150 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect and design robust, scalable, and secure generative AI solutions for enterprise clients ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

Writer

Solutions architect (Central)

Chicago, IL · On-site

$164K - $245K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect and design robust, scalable, and secure generative AI solutions for enterprise clients ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

Optime Tech

AI Strategist

Chicago, IL · On-site

$125K - $161K/yr

... testing, and piloting stages across cross-functional teams including Creative, Brand, and R&D ... Generative AI tools * LLM frameworks * Agentic AI concepts * Synthetic research concepts * Standard ...

New

writer.com

Solutions architect (Central)

Chicago, IL · On-site

$140 - $200/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect and design robust, scalable, and secure generative AI solutions for enterprise clients ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

Expedia, Inc.

Senior AI Engineer

Chicago, IL · On-site

$171.50 - $240/hr

  • Medical

  • Dental

  • Vision

  • PTO

... testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations. * Stay current with advancements in Generative AI, Agentic AI, and ...

Expedia

Senior AI Engineer

Chicago, IL · On-site

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations. * Stay current with advancements in Generative AI, Agentic AI, and ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are popular job titles related to Generative Ai Testing jobs in Illinois?

For Generative Ai Testing jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Illinois look for?

The top searched job categories for Generative Ai Testing jobs in Illinois are:

What cities in Illinois are hiring for Generative Ai Testing jobs?

Cities in Illinois with the most Generative Ai Testing job openings:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Illinois as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Senior AI/ML Solutions Engineer

James Hardie

Chicago, IL • On-site

$57 - $73.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

James Hardie rating

8.2

Company rating: 8.2 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

88th of 540 rated manufacturers

Job description

James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie®, TimberTech®, AZEK® Exteriors, Versatex®, fermacell®, and StruXure®.
With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we're united by our purpose of Building a Better Future for All™ through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities.
For more information, visit www.jameshardie.com.
Summary
The Senior AI/ML Solutions Engineer supports the full lifecycle of AI solutions-from ideation to productionization-covering both Generative AI and Predictive AI use cases. This role focuses on implementing AI-powered solutions, integrating them into enterprise workflows, and ensuring operational reliability. This role reports directly to the Sr. Director of AI and supports AI solution engineering leader to implement enterprise AI solutions.
What You'll Do:
  • Lead major AI capabilities throughout the end-to-end AI solution lifecycle-from ideation and prototyping through deployment and operationalization.
  • Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and Predictive AI (forecasting, anomaly detection, classification, computer vision).
  • Translate business requirements into scalable technical capabilities, ensuring alignment with enterprise patterns and standards.
  • Develop APIs, microservices, and workflows to embed AI capabilities into production systems.
  • Work with data engineering teams to ensure robust data pipelines and features for AI models.
  • Optimize AI solutions for performance, cost, monitoring, and reliability in production environments.
  • Collaborate with business partners, engineering teams, and data scientists to iterate on high value use cases.
  • Communicate technical concepts to leadership and non-technical stakeholders.
  • Participate in AI solution architecture design and contribute to cross functional architecture decisions.
  • Establish and follow best practices for model deployment, versioning, testing, and observability.
  • Contribute to ML Ops pipelines, CI/CD automation, and containerized deployments (Kubernetes, Docker).
  • Perform production support and troubleshooting for deployed AI services.
  • Mentor junior AI engineers and contribute to team knowledge sharing.
  • Support AI solution engineering leaders in establishing engineering standards and reusable patterns.

What You'll Bring:
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field required.
  • 6-8 years of experience in AI/ML engineering, data science, or software development (between junior 4+ and principal 8+).
  • Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience building LLM based systems, RAG pipelines, or generative AI applications.
  • Understanding of data pipelines, APIs, microservices, and distributed systems.
  • Experience with ML Ops tools and practices (model registries, CI/CD, observability).
  • Strong problem solving skills with the ability to troubleshoot complex systems.
  • Excellent written and verbal communication skills.
  • Curiosity and commitment to staying current with emerging AI technologies.

What You'll Receive:
As of the date of this posting, a good faith estimate of the current pay scale for this position is $106,700K-$133,400K. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.
At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.
  • Compensation: competitive salary and bonus eligibility
  • Insurance: day-one health coverage medical, dental, vision, life insurance
  • Paid Time Off: vacation and company holidays
  • Retirement: 401(k) with 6% match
  • Investments: Employee Stock Purchase plan (ESP)
  • Work-Life Balance: parental leave, wellness programs
  • Purpose. Impact. Community: Sustainability Initiatives | James Hardie

#LI-DW1
James Hardie Building Products Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, national origin, religion, sexual orientation, gender identity/expression, genetic information, veteran's status, marital status, pregnancy, disability, or any other basis protected by law.
James Hardie will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

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