ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Kansas

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation ...

MNF Global

Patent Agent

Overland Park, KS

$140K - $240K/yr

... software engineering, computer science, or physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor ...

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science. * Teaching experience in higher education. * Experience utilizing AI tools, business ...

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science. * Teaching experience in higher education. * Experience utilizing AI tools, business ...

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Kansas

Artificial Intelligence Machine Learning Engineer information

See Kansas salary details

$28.1K

$114.8K

$172.6K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for artificial intelligence machine learning engineer in Kansas is $114,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $138,200.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Kansas? For Artificial Intelligence Machine Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Kansas look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Kansas with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Kansas as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,843 per year, or $55.2 per hour.
Director, Data & Artificial Intelligence

Director, Data & Artificial Intelligence

Equity Bank

Wichita, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Equity Bank rating

5.1

Company rating: 5.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

135th of 141 rated banks

Job description

Position: Director, Data amp; Artificial Intelligence
Department: Information Technology
Location: Wichita, Kansas (On-Site)
Job Type: Full-Time/Salary
Jump start your career at Equity Bank! We are currently hiring energetic, team oriented, and community focused individuals to join our team! With a team of best-in-class customer service experts, you'll help to build and expand on client relationships, deliver the banking products and services that meet the unique and individual needs of clients, and create and uphold an atmosphere of superior experience and service. At Equity Bank we’ll help you invest in your community through volunteer opportunities which align with our company initiatives and core values.
Summary:
The Director of Data amp; AI will lead Equity Bank’s enterprise data strategy and artificial intelligence initiatives. This role is responsible for building a trusted data foundation, enabling advanced analytics, and driving AI adoption across the organization. The Director will oversee data governance, architecture, and AI-driven innovation to enhance customer experience, operational efficiency, and business growth.
Responsibilities and Expectations
Key Responsibilities
Data Strategy amp; Governance
  • Define and execute enterprise-wide data strategy aligned with business objectives
  • Establish and enforce data governance policies, ensuring compliance with regulatory standards (GLBA, GDPR)
  • Drive data quality initiatives and maintain integrity across all platforms
AI Strategy amp; Innovation
  • Develop and implement the organization’s AI roadmap, focusing on high-ROI use cases
  • Architect and oversee machine learning platforms and MLOps frameworks
  • Stay ahead of emerging AI trends (generative AI, NLP, computer vision) and integrate innovative technologies
Infrastructure amp; Architecture
  • Oversee design and maintenance of data platforms (warehouses, lakes, pipelines)
  • Implement scalable AI solutions by leveraging cloud platforms (AWS, Azure) and modern tools (Snowflake, Copilot Studio)
Analytics amp; Insights
  • Deliver advanced analytics, dashboards, and predictive models to support decision-making
  • Collaborate with business units to identify opportunities for AI-driven automation and personalization
Leadership amp; Collaboration
  • Build and mentor a high-performing team of data engineers, analysts, and AI specialists
  • Partner with technology and business leaders to align data and AI initiatives with strategic goals
  • Communicate complex AI and data concepts to executives and stakeholders
Governance amp; Ethics
  • Ensure ethical AI development and deployment
  • Monitor compliance with data privacy regulations and mitigate risks associated with AI technologies
Required Skills amp; Education
Requirements
  • Education: Bachelor’s or Master’s in Data Science, Computer Science, AI, or related field; Ph.D.
  • 7+ years in data management or analytics roles; 3+ years in AI leadership
  • Proven track record of implementing enterprise data and AI strategies
  • Proficiency in SQL, Python/R, and data visualization tools (Power BI, Tableau)
  • Expertise in machine learning, deep learning, and AI frameworks
  • Experience with cloud platforms and big data technologies
  • Strong strategic thinking and ability to influence at all levels
  • Excellent communication skills for translating technical insights into business value
Preferred
  • Certifications: AWS Certified Data Analytics, PMP, or equivalent
  • AI leadership
Who We Are
Equity Bank, a full-service, $8 billion community bank, is based in Wichita, Kansas, with over 70 bank offices throughout Kansas, Missouri, Arkansas, and Oklahoma.
At Equity Bank, you can find exciting opportunities to challenge you, expand your skills, and reward your contributions. Our employees receive competitive compensation and benefits, while working in an atmosphere that encourages personal and professional growth. We’re searching for motivated individuals who are passionate about serving others, learning new technologies, and working as part of a team.
Equity Bank offers a full range of financial solutions, including online and mobile banking, commercial loans, consumer banking, and mortgage loans, treasury management service, the best solutions for your business, and absolutely zero ATM fees, anywhere.
What’s in it for you?
We believe your benefits are an important part of your overall compensation package. We work year-round to ensure that we provide our employees with the most up-to-date, competitive program. We thoroughly evaluate our benefit plans and strive to provide quality benefits that support the physical and financial well-being of our employees and their families.
Benefits Available:
  • Health, Dental amp; Vision Insurance
  • Group Life amp; Long-Term Disability Insurance
  • Flexible Spending amp; Health Savings Accounts
  • Group Cancer Insurance
  • 401(K) Retirement Plan w/Company Match
  • Generous Vacation amp; Sick Time
  • Employee Stock Purchase Plan (ESPP)
  • Pet Insurance
  • Retail Banking Benefits
Find your future at Equity Bank!
The above statements are intended to generally describe the nature and level of work to be performed by most people assigned to this job. It is not intended as an exhaustive list of all responsibilities, duties, and requirements.
Physical Requirements
This position requires standing, walking, bending, and squatting on a regular basis. May require the ability to stoop, kneel, crouch or reach with hands and arms. Requires the ability to carry, lift, move or push up to 25 pounds on an occasional basis. Must be able to talk and listen to others.
Work Environment
This position regularly works in an office setting. Most of the job duties require the employee to be working with computers and electronic media on a regular basis.
Equity Bank is an equal opportunity employer and will not make employment decisions based on an applicant’s race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

What Equity Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply