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Ai Integration Jobs in Kansas (NOW HIRING)

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

AI Enterprise Architect

Kansas City, KS

$66.50 - $85.75/hr

Define enterprise AI architecture blueprint including Azure AI Foundry and integration patterns * Ensure alignment with data, cloud, and security architecture across ERP and CRM systems (e.g., SAP ...

New

AI Enterprise Architect

Kansas City, KS

$66.50 - $85.75/hr

Define enterprise AI architecture blueprint including Azure AI Foundry and integration patterns * Ensure alignment with data, cloud, and security architecture across ERP and CRM systems (e.g., SAP ...

New

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... corrections are cleanly integrated. * Uphold rigorous standards in documentation and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... corrections are cleanly integrated. * Uphold rigorous standards in documentation and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... corrections are cleanly integrated. * Uphold rigorous standards in documentation and ...

Sr AI Engineer

Lenexa, KS ยท On-site +1

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers. * Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based ...

$98K - $134K/yr

Integrate SAST, DAST, SCA, secret scanning, IaC scanning, and cloud security scanning into CI/CD pipelines. * Secure cloud-native applications, APIs, containers, and AI services across Azure, AWS ...

MuleSoft Architect

Beverly, KS ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with MuleSoft integration across multiple tools, including Salesforce * Experience using AI tools to expedite MuleSoft development and testing * Knowledge of API-led architecture, MuleSoft ...

Applied AI Specialist

Salina, KS ยท On-site

$120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Integrate third-party AI services into internal pipelines--including OpenAI, Runway, ElevenLabs, and related platforms. * Develop and maintain prompt libraries, automation scripts, and intelligent ...

Showing results 21-40

Ai Integration information

See Kansas salary details

$19.2K

$105.2K

$152.5K

How much do ai integration jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai integration in Kansas is $105,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $130,700.00 per year, depending on experience, location, and employer.

How to get into AI integration?

To pursue a career in AI integration, develop skills in programming languages like Python, understand machine learning frameworks, and gain experience with AI tools and APIs. Earning relevant certifications and working on projects that demonstrate AI implementation can improve job prospects in this field.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What are the key skills and qualifications needed to thrive as an AI integration specialist, and why are they important?

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

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

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

Infographic showing various Ai Integration job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $105,226 per year, or $50.6 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Overland Park, KS โ€ข Remote

$80 - $110/hr

Part-time

Posted 13 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customerโ€™s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrรถdinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.