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Agentic Ai Jobs in Kansas (NOW HIRING)

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Architect and develop Agentic AI applications using LLMs and SMLs for automation, reasoning, and content generation. Build distributed backend systems with Python, Fast API, Azure, Kafka, and ...

Artera

Manager, Revenue Accounting

Kansas City, KS · On-site

You'll partner with our AI Builder teams to put agentic AI to work inside the revenue function itself, automating invoicing, reconciliations, and rev-rec workflows that traditionally lived in ...

Accenture

AWS Technical Architect

Overland Park, KS · On-site

$64 - $84/hr

Design and develop reusable Enterprise Cloud Architecture, Data & AI, Migration & Agentic AIsolution assets including reference architectures, accelerators, frameworks, and proof-of-concept ...

Nordic

The Senior Data scientist should also have awareness about Gen AI & Agentic AI concepts and have a point of view on how traditional data science workflows can evolve harnessing the power of ...

New

Hewlett Packard Enterprise Development LP

Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...

Hewlett Packard Enterprise Development LP

Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...

Hewlett Packard Enterprise

Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...

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Agentic Ai information

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How much do agentic ai jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for agentic ai in Kansas is $58.66, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $89.18 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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

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

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

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

What cities in Kansas are hiring for Agentic Ai jobs?

Cities in Kansas with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Kansas as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $122,013 per year, or $58.7 per hour.

Agentic AI Engineer - Research Administration

Kansas City, KS • On-site

University of Kansas Medical Center
Colleges, Universities, and Professional Schools • 11 - 50 employees
Learn more about University of Kansas Medical Centerexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Department:
Research Informatics
Research Informatics - AIPosition Title:
Agentic AI Engineer - Research AdministrationJob Family Group:
Professional StaffJob Description Summary:
The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data, and support investigators across the institution. The Agentic AI Engineer will work closely with faculty, data scientists, and clinical collaborators, and contribute directly to research that advances patient care and scientific discovery.Job Description:
Job Responsibilities:
  • Design, develop, and test AI agents and LLM-based pipelines that automate multi-step research and clinical-support tasks.
  • Implement retrieval-augmented generation (RAG) and tool-use workflows to ground AI systems in institutional data and literature.
  • Integrate AI components with internal data sources, APIs, and research applications under appropriate data-governance controls.
  • Evaluate model and agent performance for accuracy, reliability, safety, and bias; document results and iterate based on findings.
  • Collaborate with investigators to translate research questions into technical requirements and prototypes.
  • Write clean, well-documented, reproducible code and maintain version-controlled repositories.
  • Contribute to technical documentation, internal demos, and occasional grant or publication deliverables.
  • Stay current with developments in agentic AI frameworks and apply relevant advances responsibly.
  • Conducts activities in a professional and ethical manner, and in accordance with KUMC Policies and applicable local, state and federal laws and regulations.
  • Performs job responsibilities in a safe and secure manner.
  • Coordinate work with other University areas ensure integration and support of the University mission.
  • Develops, maintains and expands job-specific knowledge and skills to keep pace with industry changes and supports the university's commitment to excellence and innovation.
  • Participates in relevant committees, task force, or other similar activities.
  • Maintain confidentiality of medical center, employee, and patient information. Manages sensitive data with discretion and in accordance with KUMC policies and legal requirements.
  • Maintains the highest standards of integrity, respect, professional conduct, and ethical standards.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.
Required Qualifications
Education:
  • Bachelor's degree in computer science, data science, engineering, or a related field.

This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and professional competencies necessary to perform the duties of the position. The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector, ensuring that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations.
Work Experience:
  • 8 years of experience that requires proficiency in Python and familiarity with modern software-development practices (Git, testing, code review). Education may be substituted for experience on a year for year basis.
  • Experience in a position that requires an understanding of machine learning and large language models, including prompting and basic evaluation.
  • Exposure to at least one agentic or LLM framework (e.g., LangChain, LlamaIndex, the OpenAI or Anthropic SDKs, or similar) through coursework, internships, or personal projects.

Preferred Qualifications
Certifications/Licenses:
  • Graduate Certificate in Artificial Intelligence (AI)

Work Experience:
  • Experience building RAG systems, tool-using agents, or workflow automation with LLMs.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
  • Interest in or exposure to healthcare, biomedical, or clinical-research data.
  • Awareness of data privacy and security considerations, including HIPAA, in research or healthcare contexts.
  • Contributions to open-source projects, research, or a portfolio demonstrating applied AI work.

Skills
  • Communication
  • Collaboration
  • Problem-solving

Required Documents
Resume
Cover Letter
Comprehensive Benefits Package:
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
RegularTime Type:
Full timeRate Type:
Salary
Compensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Pay Range:
$103,014.00 - $164,822.00
Minimum
$103,014.00
Midpoint
$133,920.00
Maximum
$164,822.00

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