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Ai Agent Jobs in Kansas (NOW HIRING)

Lightedge

Sr. AI Integration Engineer

Lenexa, KS

$97K - $131K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents, harnesses, workflows, services, and integrations that support internal business processes and cross ...

Harris

$70K - $100K/yr

A strong foundation in machine learning, deep learning, data engineering, and AI agent frameworks. * Proven Architectural Skills: Demonstrated experience designing and deploying complex, multi-model ...

Human Agency

$95K - $128K/yr

This role sits at the intersection of AI agent security, offensive and defensive thinking, product and infrastructure security, and real-world deployment. You will think like a founder, build like an ...

CrowdStrike

$108K - $143K/yr

You understand how AI agents authenticate, what scoped vs. standing access means for an autonomous agent, and what the identity and security implications are when agents chain tool calls across ...

Acara Solutions

Repair Mechanic

Wichita, KS

$22/hr

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

Acara Solutions

Calibration & Test Technician

Wichita, KS · On-site

$22/hr

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

League Inc.

AI agent evaluation - supporting the development and validation of rubrics, grading AI-generated benefits guidance against structured accuracy and coverage standards, flagging where the agent ...

Parexel

Working knowledge of RPA platforms (UiPath preferred), AI agent/assistant platforms, and enterprise integration patterns * Experience managing multidisciplinary teams that include both professional ...

League Inc.

AI agent evaluation - supporting the development and validation of rubrics, reviewing AI-generated health responses against structured rubrics, flagging where guidance. oversteps scope or crosses ...

Acara Solutions

Materials Handler 1

Wichita, KS

$19.28/hr

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

Kiewit Corporation

AI Engineer

Lenexa, KS · On-site +1

Responsibilities Design, develop, and deploy AI-enabled services and agent-based workflows Build and maintain API-driven backend services supporting AI-powered applications Contribute to frontend ...

pcg

Business System Analyst

Lenexa, KS · On-site

Evaluate AI-assisted process automation opportunities, including report automation, document review, workflow assistance, knowledge search, agent-enabled support, and business self-service scenarios ...

micro1 AI

Tax (SALT) AI Training Specialist

Olathe, KS · Remote

$20 - $30/hr

Enrolled Agent designation, or federal tax experience relevant to the scenario-review track. * Direct experience reviewing or validating AI or technology-driven tax content. * Background in training ...

micro1 AI

Tax (SALT) AI Training Specialist

Topeka, KS · Remote

$20 - $30/hr

Enrolled Agent designation, or federal tax experience relevant to the scenario-review track. * Direct experience reviewing or validating AI or technology-driven tax content. * Background in training ...

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How much do ai agent jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai agent in Kansas is $26.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $35.38 per hour, depending on experience, location, and employer.

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

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

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

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

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

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

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Infographic showing various Ai Agent 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 $55,921 per year, or $26.9 per hour.

Sr. AI Integration Engineer

Lightedge

Lenexa, KS

$97K - $131K/yr

Full-time

Re-posted 5 days ago

Job description

LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.
If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility.

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position is an execution partner to AI architecture leadership, helping translate agentic design concepts and approved business needs into production-ready AI agents, automations, and integrations that improve workflow execution, operational efficiency, and decision support.

The ideal candidate combines strong software engineering and systems integration skills with practical experience delivering AI-enabled workflows in business environments. This person must be comfortable working directly with stakeholders to gather requirements, refine scope, and iterate quickly, while also owning a backlog of business-facing AI workflows and serving as the primary technical owner for those workflows once they move into production.

Key Responsibilities
  • AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents, harnesses, workflows, services, and integrations that support internal business processes and cross-functional execution.
  • AI Agent & Workflow Lifecycle Management: Own the end-to-end lifecycle of AI agents and AI-driven workflows, from intake and requirements shaping through production readiness, deployment, monitoring, support, periodic review, and continuous improvement.
  • Stakeholder Partnership: Work directly with internal teams to gather requirements, refine scope, collect feedback, and translate business needs into practical AI-enabled workflow solutions.
  • Owned Backlog: Maintain and execute a backlog of high-value business-facing AI workflows and automations that align with Lightedge priorities across operations, support, sales, and other internal functions.
  • System Integration: Build and support integrations across enterprise systems such as ServiceNow, Salesforce, portals, APIs, middleware, and other workflow platforms used by the business.
  • Production Ownership: Serve as the primary technical owner for AI workflows once they move from prototype into production, unless and until a deliberate transition to another long-term owner is defined.
  • Operational Support: Provide first-level support for production AI workflows that support critical business processes, including monitoring, issue triage, defect resolution, incident coordination, and early-life stabilization.
  • Controls and Readiness: Implement the controls required for safe production adoption, including testing, evaluation, observability, secrets handling, approval steps, rollback planning, and change-management alignment.
  • Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and implementation standards for AI-enabled workflow delivery.
  • Optimization: Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations.
  • Documentation: Maintain clear technical documentation, workflow diagrams, runbooks, support notes, and production-readiness artifacts for delivered solutions.
  • Cross-Functional Collaboration: Partner with AI architecture, Security, Compliance, IT, Operations, and platform teams to ensure AI workflows are secure, supportable, and aligned with governance requirements.
  • Communications: Regularly communicate delivery status, risks, support needs, and business impact to stakeholders and leadership.
  • Architecture Contribution: Contribute implementation insight and field feedback into broader AI design and governance decisions, while not serving as the primary owner of enterprise AI strategy or architecture.
Required Qualifications
  • Experience building and supporting production workflow integrations across enterprise systems such as ServiceNow, Salesforce, APIs, middleware, and related business platforms.
  • Experience taking prototypes, proofs of concept, or citizen-developed automations into governed production environments with appropriate controls, reliability, and supportability.
  • Experience supporting production applications, integrations, or automations with direct operational ownership responsibilities.
  • Working knowledge of security, access controls, logging, monitoring, and change-management practices for business-critical systems.
  • Strong proficiency in Python for AI integrations, workflow automation, and data processing.
  • Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development.
  • Experience building and supporting APIs, microservices, distributed systems, and CI/CD pipelines.
  • Experience translating business requirements into production-ready technical workflows and integrations.
  • Experience evaluating AI outputs, prompt behavior, workflow quality, and operational reliability before production release.
  • Experience deploying and supporting production systems in cloud environments such as AWS, Azure, or GCP.
  • Ability to work directly with stakeholders to gather requirements, define scope, and iterate based on feedback.
  • Excellent communication skills and ability to translate technical decisions into business impact.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of relevant experience in software engineering, systems integration, workflow automation, or AI-enabled application delivery.
Preferred Qualifications
  • Experience integrating AI-enabled workflows into ServiceNow, Salesforce, or similar enterprise platforms.
  • Experience building LLM-based applications, agents, or workflow automations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools.
  • Experience developing AI-powered assistants, copilots, or intelligent automation workflows used by business teams.
  • Experience with prompt engineering, evaluation, and tuning of generative AI systems in production contexts.
  • Experience with Kubernetes and container-based deployment models.
  • Experience with MCP-style integration patterns, orchestration layers, or agent-accessible tool frameworks.
  • Experience with SQL and working with operational or analytics data across enterprise platforms.
  • Familiarity with vector databases, RAG pipelines, and workflow patterns that combine structured system context with LLM reasoning.
  • Familiarity with observability, support runbooks, and incident response practices for automation or integration services.
  • Experience with enterprise LLM platforms including ChatGPT, Claude, Gemini, Copilot, or similar tools.
  • Previous experience owning a backlog of automation or AI workflow enhancements for internal business users.
Success Metrics
  • Timely delivery of production-ready AI workflows that move approved use cases from prototype into governed production.
  • Reduction in manual work, cycle time, or support effort through well-integrated AI automations.
  • Reliable operation and first-level support of AI workflows that support critical business processes.
  • Strong stakeholder adoption and satisfaction across the internal teams using delivered AI workflows.
  • Clear business ROI from deployed AI workflows and automations.
  • Growth of a prioritized backlog of business-facing AI workflows aligned to Lightedge objectives.
With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3.
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.
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