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Ai Platform Engineer Jobs in Kansas (NOW HIRING)

Sr. Systems Engineer - AI

Kansas City, KS

$100K - $137K/yr

The engineer partners closely with application teams, platform engineering, and IT operations to ensure AI services are production-ready, supportable, and aligned to enterprise operational standards.

New

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Design, develop, and deploy reusable AI platform services and backend APIs. * Build scalable ...

... advanced AI-native platform. We work on large scale distributed systems, processing almost 3 ... You will champion engineering excellence, focusing on shipping fast, writing elegant, high-quality ...

As a Staff Software Developer on Auvik's AI & Platform team, you'll be a hands-on technical leader ... You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ...

Senior Staff AI Engineer

Topeka, KS · On-site

$199.50 - $299.30/hr

That's why we build the most complete cloud analytics and data platform for AI. By delivering ... Role Overview As a Senior Staff AI Engineer , you will be a senior technical leader responsible for ...

New

$98K - $134K/yr

As part of the Information Security team, you will build and secure the platforms, processes, and ... AI governance initiatives. * Partner with engineering teams to enable secure development while ...

You will partner closely with Engineering, Design, and other PM leaders to build critical platform capabilities that power CrowdStrike's AI-driven solutions. The Platform touches every Falcon module ...

$175K - $245K/yr

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

You will work closely with Technical Product Owners (TPOs), Technical Program Managers (TPMs), Platform Engineering, and Senior Managers to deliver scalable, reliable, and innovative AI applications ...

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Ai Platform Engineer information

See Kansas salary details

$29

$57

$84

How much do ai platform engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai platform engineer in Kansas is $57.04, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $65.82 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Kansas? For Ai Platform Engineer jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Ai Platform Engineer jobs? Cities in Kansas with the most Ai Platform Engineer job openings:
Infographic showing various Ai Platform Engineer job openings in Kansas as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $118,639 per year, or $57 per hour.

Senior AI Platform Engineer

Cboe Global Markets

Overland Park, KS

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Job Description:

Building trusted markets - powered by our people

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We're building meaningful ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities.

PLEASE NOTE: To support strong partnership and team connection, this role follows a four day in office work model in either our Chicago, IL or Overland Park, KS office.

While the internal title for this position is Senior Automation Engineer, this role has been posted externally under a different title to better align with market norms and to attract talent with comparable experience and skill sets.

Role Overview

TheSr.AutomationEngineer serves as a senior technical authority responsible for designing, building, and governing enterprise-scale intelligent automation systems centered on agentic artificial intelligence. This role sits at the intersection of advanced AI engineering, security architecture, and organizational strategy - driving the adoption of autonomous agent frameworks across complex, multi-team environments. The position demands a practitioner who canoperateat both the deep technical layer and the executive advisory level, translating emerging AI capabilities into resilient, production-grade systems that meet the most rigorous security and compliance standards.

Your responsibilities will be

  • Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures
  • Strong security mindset with expertise in AI threat modeling, prompt injection defense, zero-trust principles, and secure handling of model inputs/outputs
  • Solid software engineering foundation (Python + compiled language) with experience in microservices, CI/CD, and infrastructure-as-code
  • Ability to design resilient AI systems with strong observability, tracing, and understanding of non-deterministic failure modes
  • Proven ability to operate cross-functionally and lead without authority across engineering, security, product, and operations
  • Capable of translating complex technical concepts into clear roadmaps, architecture decisions, and executive-level communication

The ideal candidate has

  • 5+ years of relevant experience across AI/ML systems, software engineering, or cybersecurity, with hands-on experience building, securing, and operating production-grade systems
  • Proven track record building production-grade agentic AI systems that operate reliably at scale
  • Hands-on experience designing agent orchestration patterns, debugging non-deterministic failures, and delivering observable, auditable AI pipelines in regulated environments
  • Strong applied security expertise, including implementing defenses against prompt injection, jailbreaking, and tool misuse, with experience in red-teaming or penetration testing AI systems
  • Demonstrated ability to drive alignment across security, legal, compliance, product, and engineering, turning competing priorities into practical, well-documented outcomes
  • Comfortable presenting architectural trade-offs and risk decisions to senior leadership in high-stakes environments
  • Experience in financial services or regulated industries, with exposure to AI governance, model risk management, or internal AI policy development preferred

Benefits and Perks of working for Cboe Global Markets

We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer:

  • Fair and competitive salary and incentive compensation packages with an upside for overachievement
  • Generous paid time off, including vacation, personal days, sick days and annual community service days
  • Health, dental and vision benefits, including access to telemedicine and mental health services
  • 2:1 401(k) match, up to 8% match immediately upon hire
  • Discounted Employee Stock Purchase Plan
  • Tax Savings Accounts for health, dependent and transportation
  • Employee referral bonus program
  • Volunteer opportunities to help you give back to your communities

Some of our associates' favorite benefits and perks include:

  • Complimentary lunch, snacks and coffee in any Cboe office
  • Paid Tuition assistance and education opportunities
  • Generous charitable giving company match
  • Paid parental leave and fertility benefits
  • On-site gyms and discounts to other fitness centers

More About Cboe Global Markets

We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed.

We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

Learn more about life at Cboe on our website and LinkedIn.

Equal Employment Opportunity

We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or Veteran status. We are committed to fostering a workplace where all individuals are valued and respected.

#LI-CP2


This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Salary Ranges (applicable for US locations only)

At Cboe, we are committed to providing a competitive, transparent, and marketinformed total rewards program. The anticipated base salary range for this role is $119,000-$169,400, with actual compensation determined by jobrelated factors such as skills, relevant experience, education, internal alignment, and location.

This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.

Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE.


Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.