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Ai Platform Engineer Jobs in Kansas (NOW HIRING)

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$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.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$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.

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 ...

Senior Data Platform Engineer

Manhattan, KS · On-site

$104K - $137K/yr

We're seeking a seasoned Senior Data Platform Engineer to design and operate the pipelines ... Evaluate and recommend new technologies and approaches for backend and AI/ML evolution. * Provide ...

$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 ...

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 ...

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

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How much do ai platform engineer jobs pay per hour?

As of Aug 31, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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:

Infographic showing various Ai Platform Engineer job openings in Kansas as of August 2026, with employment types broken down into 56% Full Time, 40% Part Time, 1% Temporary, and 3% 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.

Staff Software Engineer - AI Platform Engineer

Overland Park, KS • On-site, Remote


WellSky
Software Development • 1 - 5K employees

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

181st of 246 rated software companies

Good employer

Paid breaks

Respectful managers


$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

The Staff Software Engineer (AI Platform Engineer) is responsible for driving AI-first engineering across WellSky by architecting and building agentic solutions, automating developer workflows, and enabling engineers and the Solutions organization to deliver faster and better. The scope of this job includes setting the technical direction for agentic AI development on the Engineering Enablement team, leading org-wide enablement and training, and partnering with product engineering teams and the Solutions organization to integrate agentic workflows into the software development lifecycle and customer delivery processes.

Location: This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland Park, KS will join our WHQ community and participate in our in-office collaboration experience.

Key Responsibilities:

  • Architect and build agentic AI solutions - including autonomous workflows, tool-calling agents, RAG pipelines, and LLM integrations - that are used daily by WellSky engineers and the Solutions organization.
  • Set the technical direction for AI-first engineering on the Engineering Enablement team, guiding the Senior Software Engineer and defining standards for agentic development, prompt engineering, context management, and LLM integration across WellSky repositories.
  • Own the AI enablement platform: agent skills, CI/CD automation, developer tooling, and shared libraries that raise the productivity floor for the entire engineering organization.
  • Lead training sessions, workshops, demos, and office hours that build AI-first engineering skills and practices across WellSky's engineering organization.
  • Partner with the Solutions organization to identify opportunities and integrate agentic workflows into SDLC and customer-facing delivery processes.
  • Embed directly with product engineering teams to identify where agentic AI delivers real value, then build and hand off the tooling that makes adoption stick.
  • Evaluate agent output quality, establish evaluation and observability practices, and ensure AI tooling is safe and reliable before rollout.
  • Serve as WellSky's internal authority on agentic AI development patterns, emerging tooling, and best practices.
  • Write clear, high-quality documentation, guides, and enablement materials consumed by hundreds of engineers.
  • Collaborate with engineering leaders to prioritize the highest-value AI enablement opportunities across the organization.
  • Perform other job duties as assigned.

Required Qualifications:

  • Bachelor's degree in a related field, or equivalent work experience.
  • 8-12 years of relevant software engineering experience, with substantial depth in .NET / C#.
  • At least 2 years of hands-on experience developing with LLMs, including a minimum of 1 year architecting and building agentic AI solutions - agentic workflows, tool/function calling, RAG, prompt and context engineering, and agent evaluation.
  • Must have shipped agentic systems to production that are used by real users; prototypes and proofs of concept alone do not meet this bar.
  • Strong, current .NET / C# skills (.NET 8 or newer, ASP.NET Core); must be able to work directly in WellSky's .NET codebases and embed with .NET product teams.
  • Proficiency in Python, the primary language for AI tooling, agent platforms, and data pipelines on this team.
  • Experience building internal developer tools, CI/CD automation, or shared libraries for other engineers - not just product features.
  • Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or Vertex AI), including tool/function calling and streaming at production scale.
  • Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
  • Demonstrated ability to lead technical direction, guide senior engineers, and drive adoption of new practices across a team or organization.
  • Excellent written communication skills; comfortable producing documentation and enablement materials for a large technical audience.
  • Comfortable running training, demos, and office hours for engineers at all levels.

Preferred Qualifications:

  • TypeScript / JavaScript proficiency; React experience strongly preferred.
  • Experience with event-driven messaging systems - Apache Kafka, Google Pub/Sub, Azure Service Bus, or RabbitMQ (Kafka is the standard on our go-forward platform).
  • Experience with Model Context Protocol (MCP) - building MCP servers, clients, and agent integrations (strong differentiator).
  • PostgreSQL and vector database experience - pgvector, Pinecone, Weaviate, or Vertex AI Search.
  • Google Cloud Platform experience - Cloud Run, Vertex AI, GKE (Azure or AWS also considered).
  • LLM evaluation and observability experience - evals, tracing, prompt regression testing.
  • Familiarity with agent and LLM frameworks such as Claude Agent SDK, Semantic Kernel, Microsoft.Extensions.AI, LangChain, or LangGraph.
  • Domain-Driven Design and CQRS experience (MediatR or equivalent).
  • OpenTelemetry and distributed tracing experience - Jaeger, Seq, Datadog, or Grafana.
  • Experience guiding or mentoring senior engineers.
  • Healthcare industry experience preferred; HIPAA and PHI handling experience weighted highly.
  • Consulting instinct - able to embed with a team, diagnose where AI actually helps, and say no clearly where it does not.
  • High tolerance for ambiguity and a fast-moving tooling landscape.

Job Expectations:

  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

#LI-TC1

#LI-Remote


WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.

Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.

Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.

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