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Ai Designer Jobs in Kansas (NOW HIRING)

Dairiconcepts, L.P.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

Ensure all AI services meet enterprise standards for deployment, configuration, and change ... Provide guidance to project teams to ensure solutions are designed for production support from day ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS

$100K - $137K/yr

Ensure all AI services meet enterprise standards for deployment, configuration, and change ... Provide guidance to project teams to ensure solutions are designed for production support from day ...

Human Agency

That might mean designing an AI-enabled workflow on Monday, pressure-testing a product decision with a C-suite on Wednesday, and shipping a working prototype by Friday. The client doesn't see the ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Deep expertise in designing and implementing distributed systems, microservices architectures, and event-driven solutions. Hands-on experience with production-grade AI systems leveraging Large ...

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Ai Designer information

See Kansas salary details

$31.7K

$74.2K

$98.1K

How much do ai designer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai designer in Kansas is $74,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $97,200.00 per year, depending on experience, location, and employer.

What does an AI Designer do?

An AI Designer creates and implements intelligent systems in software, games, or applications, ensuring they behave in ways that enhance user experience. They design algorithms, machine learning models, and decision-making systems to simulate human-like behaviors. AI Designers often work closely with developers, data scientists, and UX designers to optimize AI performance. Their role combines creativity with technical expertise to craft engaging and functional AI-driven experiences.

What are the key skills and qualifications needed to thrive as an AI Designer?

To thrive as an AI Designer, you need a solid background in artificial intelligence, user experience design, and computer science, often supported by a relevant degree or certifications. Familiarity with tools like TensorFlow, PyTorch, Figma, and prototyping software is typically required, along with understanding of human-centered design principles. Creative problem-solving, cross-functional collaboration, and clear communication are important soft skills for success in this field. These competencies enable AI Designers to create intuitive, impactful AI-driven experiences that meet both technical and user needs.

What are the most common challenges AI Designers face in their daily work?

AI Designers frequently encounter challenges balancing technical feasibility with user experience, as it requires understanding both complex AI algorithms and user-centered design. Bridging communication gaps between data scientists, engineers, and non-technical stakeholders is also a common aspect of the role. Additionally, adapting to fast-evolving AI technologies means continuous learning and flexibility are crucial. Those who excel in this role typically enjoy problem-solving in multidisciplinary teams and are comfortable iterating on solutions based on user feedback and data.

How do you become an AI designer?

To become an AI designer, individuals typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a bachelor's or master's degree. Skills in programming languages like Python, experience with AI frameworks, and knowledge of data analysis are essential, along with a portfolio of projects or experience in designing AI systems.

How much does an AI designer make?

The average salary for an AI designer ranges from $70,000 to $130,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, deep learning, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What are the most commonly searched types of Ai Designer jobs in Kansas?

The most popular types of Ai Designer jobs in Kansas are:

What are popular job titles related to Ai Designer jobs in Kansas?

For Ai Designer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ai Designer jobs in Kansas look for?

The top searched job categories for Ai Designer jobs in Kansas are:

Ai Designer jobs near you
Infographic showing various Ai Designer job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $74,156 per year, or $35.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Topeka, KS • On-site

Other

Re-posted 17 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply