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Artificial Intelligence Jobs in Kansas (NOW HIRING)

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS

$58K/yr

Integrate artificial intelligence concepts, tools, and applications into business coursework where appropriate. * Develop, assess, and continuously improve course materials and curriculum. * Support ...

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Integrate artificial intelligence concepts, tools, and applications into business coursework where appropriate. * Develop, assess, and continuously improve course materials and curriculum. * Support ...

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Integrate artificial intelligence concepts, tools, and applications into business coursework where appropriate. * Develop, assess, and continuously improve course materials and curriculum. * Support ...

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All JobsArtificial Intelligence JobsArtificial Intelligence Jobs in Kansas

Artificial Intelligence information

See Kansas salary details

$9.8K

$91.8K

$118.6K

How much do artificial intelligence jobs pay per year?

As of Jul 28, 2026, the average yearly pay for artificial intelligence in Kansas is $91,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $118,200.00 per year, depending on experience, location, and employer.

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

To thrive as an Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by relevant degrees or certifications. Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with data processing tools are typically required. Critical thinking, innovation, and effective communication are essential soft skills that set top professionals apart in this field. These skills and qualities are crucial for designing robust AI solutions, collaborating across teams, and adapting to the rapidly evolving AI landscape.

What are the jobs in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What is an entry level job in AI?

An entry-level job in AI typically involves roles such as AI analyst, data analyst, or junior machine learning engineer. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and sometimes a relevant degree or certification. They provide opportunities to gain practical experience and develop skills in AI development and data analysis.

What Is the Job Outlook for Careers in Artificial Intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects the expertise, impact, and complexity of the work involved.

What are Artificial Intelligence jobs?

Artificial Intelligence (AI) jobs involve creating, developing, and implementing computer systems that can perform tasks typically requiring human intelligence. These roles can include data scientists, machine learning engineers, AI researchers, and AI product managers. Professionals in these positions work on areas such as natural language processing, computer vision, robotics, and deep learning. AI jobs require strong backgrounds in computer science, mathematics, and programming, and are in high demand across industries like technology, healthcare, finance, and automotive.

What types of jobs are in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What are some common challenges faced by professionals working in Artificial Intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

More about Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Kansas? The most popular types of Artificial Intelligence jobs in Kansas are:
What are popular job titles related to Artificial Intelligence jobs in Kansas? For Artificial Intelligence jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence jobs in Kansas look for? The top searched job categories for Artificial Intelligence jobs in Kansas are:
What cities in Kansas are hiring for Artificial Intelligence jobs? Cities in Kansas with the most Artificial Intelligence job openings:
Artificial Intelligence jobs near you
Infographic showing various Artificial Intelligence job openings in Kansas as of July 2026, with employment types broken down into 53% Full Time, 16% Part Time, 5% Temporary, 21% Contract, and 5% Nights. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $91,805 per year, or $44.1 per hour.
Director Artificial Intelligence

Director Artificial Intelligence

ORANGE EV LLC

Kansas City, KS • On-site

Full-time

Posted 6 days ago

Job description

Join Orange EV, a fast-growing manufacturer of electric vehicles that are better for the earth, people and the bottom line. Make a difference for the world as part of a company leading the electric vehicle revolution.

Position Summary

Orange EV is a technology-forward OEM seeking a Director of Artificial Intelligence to serve as the company's AI authority and strategic enabler. This is a role reporting directly to the CEO, designed to ensure our internal leaders can move quickly and confidently with AI — while protecting the company's data, systems, reputation, and competitive position. This is not a role built primarily around building a large team or running large-scale engineering projects. It is a role built around enabling speed with guardrails — empowering every business function to leverage AI effectively, responsibly, and in alignment with company strategy. As the company grows, limited supervisory responsibilities may develop, but the core mission is always to make the business faster and smarter, safely.

The Opportunity

This is a rare opportunity to shape how a growing, technology-driven OEM harnesses AI across its entire enterprise. You will work at the intersection of strategy, operations, and technology — with direct access to the CEO and the ability to influence how the company competes and grows. Specifically, you will:

  • Define the AI governance framework that gives business leaders the confidence to move fast without undue risk
  • Be the trusted advisor who translates AI possibilities into practical, high-impact business decisions
  • Operate as a hands-on strategist — more architect and guide than manager
  • Build the foundation of an AI-capable culture in a company with the technical DNA to embrace it


Position Responsibilities

AI Strategy & Governance

  • Develop and own the company-wide AI strategy, roadmap, and governance framework — aligned to business objectives and the realities of an OEM operating environment
  • Establish clear AI policies, guardrails, and decision-making frameworks that enable internal leaders to move fast while protecting company data, IP, and regulatory standing
  • Define acceptable use standards for AI tools, platforms, and third-party integrations across all departments
  • Advise the CEO and executive team on AI trends, risk, and competitive implications specific to OEM and manufacturing-adjacent sectors

Enablement & Implementation

  • Partner with department heads across engineering, operations, supply chain, sales, finance, and HR to identify and prioritize high-value AI use cases
  • Lead the total Orange EV Team in an ongoing effort to begin to implement AI Vibe Coding projects that have ROI
  • Lead evaluation and selection of AI tools, platforms, and vendors — ensuring fit, security, and scalability
  • Guide proof-of-concept initiatives through to scaled deployment, ensuring business outcomes are realized and documented
  • Serve as the primary point of escalation when AI projects surface compliance, data privacy, or ethical concerns

Internal Capability & Culture

  • Design and deliver AI literacy programs to help business leaders understand what AI can and cannot do — and how to use it responsibly
  • Translate complex AI concepts into plain-language guidance that non-technical leaders can act on confidently
  • Champion responsible AI practices across the organization, building trust in AI outputs and processes
  • May supervise a small team of AI-focused staff as the company's AI program matures; initial scope is individual contributor with strategic influence


Position Qualifications

  • 5+ years of progressive experience in AI strategy, data science, machine learning, or enterprise technology leadership
  • Demonstrated success designing and implementing AI governance frameworks, acceptable use policies, or enterprise AI risk management programs
  • Strong business acumen — able to tie AI decisions directly to operational outcomes, margin, compliance, and competitive positioning
  • Proven ability to enable and guide non-technical business leaders through AI adoption, not just oversee technical builds
  • Experience operating effectively as an individual contributor with executive-level influence in a fast-moving, resource-conscious organization
  • Exceptional communication skills — able to simplify complex AI topics for a CEO, a plant manager, and a legal team equally


Ideal Candidates Will Also Have

  • Background in OEM, manufacturing, engineered products, or technology-intensive product companies
  • Familiarity with ERP platforms, PLM systems, supply chain software, or industrial data environments
  • Experience with AI regulatory and compliance topics including data privacy (GDPR, CCPA), export controls, or product liability considerations relevant to manufactured goods
  • Exposure to responsible AI standards, AI ethics frameworks, or enterprise AI audit practices
  • Advanced degree in Computer Science, Data Science, Engineering, or equivalent experience in a technology-forward industry environment


What Success Looks Like

In the first 90 days:

  • Complete AI readiness and risk assessment across all major business functions
  • Draft a foundational AI Acceptable Use Policy and governance framework for executive review
  • Identify the top 3–5 AI opportunities with the highest near-term business impact and lowest governance risk
  • Complete the implementation of AI Vibe Coding project within 10 weeks


In year one:

  • Governance framework is adopted and actively used by internal leaders as a decision-making tool, not a bottleneck
  • At least three AI initiatives are live, with documented ROI or operational improvement
  • Improve the efficiency of Orange EV within 6 months through the implementation of AI Vibe Coding
  • Department leaders describe the Director of AI as a trusted partner who helps them move faster — not a gatekeeper who slows them down


Orange EV is an Equal Opportunity Employers and seek diversity in candidates for employment.

EEO Employer W/M/Vet/Disabled/Sexual Orientation/Gender Identity