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Applied Ai Engineer Jobs in Kansas (NOW HIRING)

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

... applied, controlled, and sustained over time. Torch.AI builds a government-owned reasoning ... You'll collaborate with engineers, data experts, veterans, and mission practitioners. You'll own ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Staff Data Scientist

Newton, KS · On-site

$160K - $240K/yr

... applied AI in the Central Data and Analytics Organization. Pricing decisions are made every day ... Partner with machine learning engineering to deploy, version, and monitor production models.

Senior Security Engineer, IAM

Wichita, KS · On-site

$113K - $155K/yr

This engineer owns the architecture, strategy, and operational maturity of AI-enabled identity ... Proficiency in at least one scripting/automation language (Python, Bash, or PowerShell) applied to ...

Implement identity checks in CI/CD pipelines (secret scanning, IaC identity analysis), acting on AI ... Proficiency in at least one scripting/automation language (Python, Bash, or PowerShell) applied to ...

Leverage AI-powered design tools and workflows to accelerate prototyping, generate design ... Support applied R&D program deliverables as needed, including prototypes, demonstrations, and ...

... AI engineering, often delivering minimum viable products under tight timelines and evolving ... Understanding of applied statistics and statistical process control, including control charts ...

Showing results 41-60

Applied Ai Engineer information

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

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

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

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

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What cities in Kansas are hiring for Applied Ai Engineer jobs?

Cities in Kansas with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Kansas as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.