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Ai Application Developer Jobs in Kansas (NOW HIRING)

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AI/LLM Safety Engineer

Overland Park, KS · On-site

We are seeking an AI/LLM Safety Engineer to join our AI team and take ownership of how safely our ... Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient ...

Accenture

Mulesoft Developer

Overland Park, KS · On-site

$49.75 - $66/hr

From traditional enterprise integration to AI-powered and agentic architectures, we design ... Experience with enterprise application implementations, distributed delivery teams, HL7 or FHIR, or ...

micro1 AI

Senior Database Reliability Engineer

Olathe, KS · Remote

$220K - $260K/yr

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... application process, reach out to support@micro1.ai. Our hiring process utilizes artificial ...

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How much do ai application developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai application developer in Kansas is $46.95, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $54.04 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

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

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

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

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

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Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Kansas as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $97,649 per year, or $46.9 per hour.

Senior Manager, AI Engineering & Platform

Virtus

Overland Park, KS • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Title: Senior Manager, AI Engineering & Platform

Location: Overland Park, Kansas

(On-site Monday through Thursday; remote work available on Fridays)

Salary Grade: Salaried Exempt

Virtus Insurance, a nine-time Best Places to Work in Insurance award‑winner, is redefining what a modern brokerage looks like. We are fast, specialized, and relentlessly client‑centric, operating across Hospitality, Real Estate, Private Capital, Benefits, Construction, Retail & Distribution, Food & Beverage and Small Business / Personal Lines. Our culture rewards ownership, excellence, and fearless pursuit.

We are looking for a builder who wants to create the technology foundation that will power the next chapter of Virtus.

What This Role Is:

The Senior Manager, AI Engineering & Platform is responsible for designing, building, and maintaining the technology infrastructure that supports Virtus' long-term AI and operational strategy. 

This is not a role that begins with a blank page. Virtus already has internally built applications running in production and in daily use by our client success teams, and our enterprise data platform is under active construction with an external analytics partner. Our Chief Executive Officer has committed the firm to becoming fully AI-enabled, and the operations leadership accountable for that commitment builds with agentic tooling every day.

As the first dedicated engineering hire at Virtus, you will be the person who makes that work durable. This is a hands-on building role: you will write and ship production code, not solely review the work of others. The architecture, standards, and platforms you establish in your first year will support everything the firm builds after it.

This is a role for someone who wants to build, lead, and leave a lasting mark, with the autonomy to shape the technology platforms that will power Virtus' next decade of growth.

Who Thrives at Virtus:
  • Embody the Virtus Core Values: Better Tomorrow, Fearless Pursuit, and One Virtus.
  • Are energized by building innovative technology solutions and solving complex business challenges.
  • Design, develop, and support scalable applications with confidence and technical expertise.
  • Are disciplined operators who value architecture, security, quality, and measurable results.
  • Communicate with clarity, credibility, and executive presence.
  • Embrace ownership and accountability for the systems and platforms they build.
  • Want a seat at the table to help shape the future of technology and AI at Virtus.
Key Responsibilities:
Data Platform Ownership
  • Serve as Virtus' primary technical liaison for the firm's external data platform and analytics partners.
  • Develop technical requirements, evaluate architecture and data models, and provide oversight of vendor-delivered solutions.
  • Ensure data warehouse structures support operational applications, reporting needs, and future AI initiatives.
  • Conduct technical reviews and acceptance testing to ensure solutions meet Virtus standards for quality, scalability, and business value.
  • Partner with vendors and business stakeholders to support the long-term evolution of the firm's data platform.
 
API & Integration Architecture
  • Design, build, and maintain a Virtus-owned API layer that serves as the primary integration point between enterprise data sources and internal applications.
  • Establish integration standards that promote system stability, scalability, security, and maintainability.
  • Ensure applications are architected to operate independently from vendor-managed data environments.
  • Provide ongoing governance and oversight of enterprise integration strategies.
 
Knowledge Management & AI Enablement
  • Design and maintain the technical architecture supporting Virtus' enterprise knowledge management strategy.
  • Develop scalable solutions that enable structured, machine-readable access to organizational content, including standard operating procedures, training materials, and business documentation.
  • Build and maintain retrieval and context-layer capabilities that support AI-powered applications and workflows.
  • Ensure knowledge assets are organized and accessible to support future automation and AI initiatives.
Application Development & Platform Engineering
  • Lead the design, development, and deployment of strategic internal business applications.
  • Develop scalable platform standards for authentication, deployment, monitoring, backup, and system reliability.
  • Serve as the primary technical owner for complex application initiatives, including automation and AI-powered solutions.
  • Ensure all systems are built to support long-term operational stability, scalability, and business growth.
  • Establish development practices that enable rapid innovation while maintaining security and governance standards.
Technical Leadership & Architecture Oversight
  • Provide technical leadership and architectural guidance across the organization's technology portfolio.
  • Review proposed solutions to identify scalability, security, performance, and operational risks.
  • Partner closely with Operations Leadership to evaluate technology investments and implementation strategies.
  • Act as a trusted advisor to executive leadership on technology architecture, platform strategy, and long-term system evolution.
  • Promote sound engineering practices and ensure technology decisions align with the organization's growth objectives.
Qualifications:
  • Five or more years of engineering experience with demonstrated range across full-stack application development and data engineering, including the ability to review data warehouse designs and identify gaps, risks, and opportunities for improvement.
  • Experience serving as one of the first engineering hires within a growing organization or owning end-to-end production systems in an environment that required a high degree of autonomy and accountability.
  • Python, SQL, and TypeScript as working languages.
  • Demonstrated experience designing, deploying, and supporting solutions in cloud environments, preferably Microsoft Azure. Experience with AWS or Google Cloud Platform is acceptable with the ability to quickly become proficient in Azure.
  • Demonstrated daily use of AI-assisted software development tools and large language model technologies, including practical application in coding, testing, debugging, and solution delivery. Agentic development tools should be a primary part of how you work rather than general familiarity. The interview process includes a live build session using these tools.
  • Ability to independently deploy, monitor, support, and maintain production systems throughout the full software lifecycle.
  • Excellent written and verbal communication skills, with the ability to translate complex technical concepts for business stakeholders, including executive leadership.
 
What Will Make You Stand Out:
  • Experience serving as the primary business stakeholder or technical lead in outsourced technology or vendor relationships, with the ability to evaluate technical deliverables, provide architectural feedback, and hold partners accountable to established standards.
  • Experience working within highly regulated industries such as insurance, financial services, healthcare, or other environments where data security, privacy, and compliance are critical.
  • Experience integrating enterprise systems and platforms, including agency management systems, CRM platforms, ERP systems, EHRs, or other systems of record through APIs, data exports, and related integration methods.
  • Demonstrated ability to evaluate, prioritize, and apply artificial intelligence technologies in practical business settings, with sound judgment regarding where AI creates value and where traditional approaches are more effective.

Physical Requirements:

The employee must be able to sit, use hands to handle or feel, talk or hear frequently; and occasionally stand, walk, and reach with hands and arms. Must have close and distance vision.

 

Travel:

This role requires minimal travel.

 

Why Join Virtus?

Virtus offers the freedom and trust to build a world‑class practice within a supportive, high‑performance environment. We invest in our people through:

  • Market-leading compensation and bonus programs
  • 401(k)
  • Health, dental, and vision
  • Unlimited PTO
  • Continuous professional development
  • An entrepreneurial culture where great ideas become reality 

Push Forward – We've got your back!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.