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Ai Jobs in Springfield, IL (NOW HIRING)

Envestnet

Lead AI Quality Assurance Engineer

Springfield, IL · Hybrid

$127K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product ...

micro1 AI

CPA - Tax Consultant - Remote

Springfield, IL · Remote

$65 - $70/hr

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

micro1 AI

Accountant - Remote

Springfield, IL · Remote

$20 - $30/hr

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

micro1 AI

Bioinformatics Software Engineer

Springfield, IL · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

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How much do ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai in Springfield, IL is $60.86, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $67.64 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

What are the most commonly searched types of Ai jobs in Springfield, IL?

The most popular types of Ai jobs in Springfield, IL are:

What job categories do people searching Ai jobs in Springfield, IL look for?

The top searched job categories for Ai jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Ai jobs?

Cities near Springfield, IL with the most Ai job openings:

Ai jobs near you
Infographic showing various Ai job openings in Springfield, IL as of August 2026, with employment types broken down into 6% Internship, 86% Full Time, and 8% Contract. Highlights an 54% In-person, and 46% Remote job distribution, with an average salary of $126,584 per year, or $60.9 per hour.

Lead AI Quality Assurance Engineer

Envestnet

Springfield, IL • Hybrid

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Job description

The application window will close Month Day, Year 

Job Location   

The primary work location for this role is Berwyn, Raleigh, Boston, Chicago, or Seattle with a hybrid work model.   

  

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

   

The Team You’ll Join  

The Quality Assurance Engineering team plays a critical role in ensuring the reliability, security, and effectiveness of Envestnet’s technology solutions, with a growing focus on AI-enabled products and platforms. Working at the intersection of engineering, data science, product, cybersecurity, and business operations, the team develops and executes innovative testing and validation strategies that help deliver trusted experiences for clients and internal stakeholders alike. By championing quality, governance, automation, and continuous improvement, the team helps accelerate the adoption of emerging technologies while ensuring solutions are scalable, compliant, and built to meet the highest standards of performance and customer confidence.

How You’ll Contribute  

Ensures that artificial intelligence solutions are accurate, reliable, secure, compliant and aligned with business and client expectations. Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks, monitoring methodologies, governance standards and automation capabilities to support scalable and trustworthy AI adoption.

  • Leads testing efforts for moderately complex AI products, features and platform enhancements.
  • Designs advanced test plans covering model accuracy, bias detection, explainability and operational resilience.
  • Develops automated testing frameworks and monitoring approaches for AI systems.
  • Performs detailed analysis of defects, model drift and production quality issues.
  • Partners with cross-functional stakeholders to define acceptance criteria and quality standards.
  • Mentors junior analysts and reviews testing deliverables for quality and consistency.
  • Supports implementation of enterprise AI governance and risk management controls.
  • Recommends improvements to testing methodologies, tooling and operational processes.
  • Facilitates quality reviews, stakeholder workshops, model validation discussions, and testing strategy sessions.
  • Identifies operational, technical, compliance, and model-related risks and recommends mitigation strategies.
  • Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies.
  • Evaluates quality, reliability, security, governance, and compliance considerations associated with AI products and services.

What You’ll Need to Bring  

  • Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
  • Ability to evaluate complex problems, identify root causes, assess alternatives, and implement practical, scalable, data-driven solutions.
  • Demonstrated ability to establish and maintain productive relationships across business, technology, product, engineering, data science, and risk organizations.
  • Knowledge of process improvement techniques, operational workflows, dependency management, quality optimization, and governance practices.
  • Ability to communicate technical and non-technical concepts clearly to diverse audiences, including leadership stakeholders.
  • Experience coordinating cross-functional initiatives, managing dependencies, tracking progress, and delivering measurable outcomes.
  • Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities, limitations, risks, and practical applications, with experience validating AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.
  • Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination testing, data quality validation, AI governance controls, and regulatory, security, privacy, or responsible AI requirements.

Nice-to-Haves  

  • [insert text]

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

  

Our Investment in You 

This role offers a base salary range of $152,300 to $190,400. The range listed represents a good-faith estimate of base salary compensation for this position and does not include incentive compensation, equity or benefits. Individual pay will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, and geographic location, in accordance with applicable pay transparency laws.  This role is eligible for an additional incentive component as part of the total rewards package.   

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

   

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at  careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.       

 

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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