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Ai Platform Engineer Jobs in Kansas (NOW HIRING)

Relativity

Software Engineer

Wichita, KS · On-site

  • Medical

  • Retirement

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ...

Conflux Systems

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 ...

Accenture

Senior Advanced AI Research Engineer

Overland Park, KS · On-site

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our Data & AI practice brings together more than 45,000 professionals helping clients design ... Platform Contribution & Integration: * Work alongside platform engineers to integrate validated ...

Locatee AG

$89K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ... Work with Platform Engineering on deployment, and with Data Platform on the curated datasets agents ...

New

Locatee Ag

$89K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ... Work with Platform Engineering on deployment, and with Data Platform on the curated datasets agents ...

New

Hewlett Packard Enterprise Development LP

... engineers, partners, and the enablement team learn faster, sell smarter, and execute with greater consistency. This role sits at the intersection of sales enablement strategy, generative AI, platform ...

New

Hewlett Packard Enterprise Development LP

... engineers, partners, and the enablement team learn faster, sell smarter, and execute with greater consistency. This role sits at the intersection of sales enablement strategy, generative AI, platform ...

New

Hewlett Packard Enterprise

... engineers, partners, and the enablement team learn faster, sell smarter, and execute with greater consistency. This role sits at the intersection of sales enablement strategy, generative AI, platform ...

New

Medium

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

  • Medical

  • Dental

  • Vision

The Opportunity ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands‑on ...

Accenture

Google Senior Data Engineer

Overland Park, KS · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data & AI platform-including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini ... You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine ...

Elevance Health

AI DevSecOps Senior Engineer

Overland Park, KS · Hybrid

$113K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI DevSecOps Senior Engineer AI DevSecOps Senior Engineer Locations: This role requires associates ... You will partner closely with application engineering, cloud, and platform teams to embed scalable ...

New

Finite State

... platform. This is a hands-on, product-focused role for an engineer who: * Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation * Is fluent in AI ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Kansas

Ai Platform Engineer information

See Kansas salary details

$29

$57

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How much do ai platform engineer jobs pay per hour?

As of Aug 16, 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 job categories do people searching Ai Platform Engineer jobs in Kansas look for?

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

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

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

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Kansas as of August 2026, with employment types broken down into 57% Full Time, 38% Part Time, and 5% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $118,639 per year, or $57 per hour.

Software Engineer

Relativity

Wichita, KS • On-site

Other

Medical, Retirement

Re-posted 26 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

Apply