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Ai Automation Engineer Jobs in Kansas (NOW HIRING)

$97K/yr

We are looking for an AI Workflow Engineer (Internal) to build & maintain the internal AI tools ... Drive build-versus-buy assessments for each opportunity (SaaS tools, platforms, automation ...

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic ...

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic ...

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable ... AI frameworks across the platform * Partner with data scientists and engineers to ensure smooth ...

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... As Lead Cloud Security Engineer, you are the cloud subject-matter expert working alongside our ...

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... teams, platform engineering, and IT operations to ensure AI services are production-ready ... Strong scripting and automation skills * Strong collaboration skills with application development ...

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... teams, platform engineering, and IT operations to ensure AI services are production-ready ... Strong scripting and automation skills * Strong collaboration skills with application development ...

At least 5+ years of relevant experience in business applications, automation, data engineering, AI/ML enablement, or a closely related field. * Production experience in at least two of the following:

Sr. Data Engineer - AI

Kansas City, KS · On-site

$110K - $132K/yr

... automation, continuous updates, monitoring, and error handling * Troubleshoot complex integration ... Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design ...

New

Sr. Data Engineer - AI

Kansas City, KS · On-site

$110K - $132K/yr

... automation, continuous updates, monitoring, and error handling * Troubleshoot complex integration ... Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design ...

New

Sr. Data Engineer - AI

Kansas City, KS · On-site

$110K - $132K/yr

... automation, continuous updates, monitoring, and error handling * Troubleshoot complex integration ... Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design ...

New

Coupa Consultant V

Overland Park, KS · On-site

$140K - $200K/yr

... engineering teams. * Drive innovation in AI, predictive analytics, and real-time procurement intelligence. * Represent DataMap as a thought leader in procurement automation , speaking at industry ...

Coupa Consultant V

Overland Park, KS · On-site

$140K - $200K/yr

... engineering teams. * Drive innovation in AI, predictive analytics, and real-time procurement intelligence. * Represent DataMap as a thought leader in procurement automation , speaking at industry ...

Coupa Consultant V

Overland Park, KS · On-site

$140K - $200K/yr

... engineering teams. * Drive innovation in AI, predictive analytics, and real-time procurement intelligence. * Represent DataMap as a thought leader in procurement automation , speaking at industry ...

This is the engineering role for someone who sees the current AI moment not as hype but as ... automation platforms, LLM-integrated applications, and tooling that didn't exist six months ago.

Showing results 41-60

Ai Automation Engineer information

See Kansas salary details

$33K

$95.5K

$145.4K

How much do ai automation engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai automation engineer in Kansas is $95,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $110,100.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

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

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

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

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

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

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

Infographic showing various Ai Automation Engineer 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 $95,541 per year, or $45.9 per hour.

AI Workflow Engineer (Internal)

Locatee AG

On-site, Remote

$97K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Let's Tango. Where Innovation Meets Impact. At Tango Analytics, we're all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration.

Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun - so if you're ready to make a difference while enjoying the journey, come join us and let's Tango. We are looking for an AI Workflow Engineer (Internal) to build & maintain the internal AI tools across the business.

Role Summary: Tango is building an AI-native operating model across every function (Go-To-Market, Tech, Finance, HR/Legal, and Services). The Internal AI Solution Architect is the first hire on the central AI Transformation team and the builder behind Tango's AI Lab. The role reports to the Head of AI Transformation and works directly across all internal functions to land AI in real workflows, not just in demos.

Key Responsibilities: Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real operating workflows (not one-off demos). Facilitate discovery: map current-state processes, quantify pain points, define "good" outcomes, and translate ambiguous needs into clear workflow requirements and success metrics. Build and maintain an AI workflow roadmap sequenced by business impact, readiness, and change capacity; align priorities with function leaders and the AI Transformation team.

Drive build-versus-buy assessments for each opportunity (SaaS tools, platforms, automation solutions), delivering a clear recommendation and implementation approach. Lead change management and enablement: run working sessions, produce playbooks, host trainings/brown bags, and coach teams to raise AI literacy and sustained adoption. Create reusable patterns and standards for "AI in internal tools" (workflow templates, governance checklists, measurement frameworks) so other teams can move faster.

Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the-loop requirements). Define evaluation and monitoring expectations for workflows (accuracy/quality, safety, cost, latency, adoption); implement feedback loops so workflows improve over time. Required Skills: 6+ years of experience in internal consulting, business operations, business systems, product operations, solutions architecture, or an equivalent role that sits at the intersection of business and technology.

Must have software-engineering experience, including 4+ years shipping internal AI-native tools to production. Must have experience standing up an internal AI program, workflow automation COE, or "AI for employees" capability at a prior company. Experience in B2B SaaS, enterprise workflows, and/or regulated or high-compliance environments (privacy, security, auditability).

Strong stakeholder management: comfortable influencing across functions, aligning senior leaders, and driving decisions amid competing priorities. Ability to translate business problems into structured requirements, operating metrics, and phased delivery plans. AI fluency: understanding of how LLM-based systems work (prompting, retrieval, tool use/function calling at a conceptual level) and how to evaluate quality, risk, and cost/latency trade-offs.

Experience evaluating and implementing software solutions (build vs buy), including vendor assessment, security reviews, rollout planning, and ongoing ownership models. Comfort working with technical teams and artifacts (PRDs/briefs, user stories, acceptance criteria, basic data models). Ability to prototype in low-code/no-code tools is a must.

Strong analytical and measurement skills: can baseline, instrument, and report outcomes; can distinguish adoption activity from true impact. Excellent written and verbal communication: can create crisp briefs, run effective workshops, and communicate trade-offs to both technical and non-technical audiences. High ownership and bias to action; thrives in fast-moving SaaS environments with evolving AI tooling.

Bachelor's degree in a related field (Business, Information Systems, Engineering, Computer Science) or equivalent practical experience. What We Offer We're committed to creating an environment where you can thrive-professionally and personally. Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.

Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance. Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status. Base pay offered is contingent on qualifications and other operational considerations.

Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us. Base pay offered for this position is: $170,000 - $220,000 *Applicants must be authorized to work in the U.S

for any employer. *We cannot sponsor employment-based visas at this time.