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Generative Ai Developer Jobs in Kansas (NOW HIRING)

Ascend Learning

AI Engineer

Leawood, KS · On-site

This role builds, tests, and deploys scalable solutions using Generative AI and Machine Learning (ML) foundational models. The AI Engineer is a product-minded, hands-on technical contributor who ...

Koch

AI Architect

Wichita, KS · On-site

$56.25 - $74.25/hr

... core Generative AI building blocks - large language models, prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector stores • Proven experience communicating AI and ...

Relativity

Software Engineer

Wichita, KS · On-site +1

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 ...

T Mobile US

Associate AI Engineer

Overland Park, KS · On-site

$80K - $146K/yr

Knowledge of prompt engineering best practices for generative AI and large language models (LLMs), including prompt design, testing, refinement, and optimization. * Cloud Computing: Knowledge of ...

KVC Health Systems

AI Solutions Developer

Olathe, KS · On-site

$65K/yr

Support generative AI initiatives in areas like session documentation and data analysis. * Ensure AI solutions align with HIPAA, ethical AI standards, and KVC's governance policies . * Provide ...

Sedgwick

Data Engineer AI

Overland Park, KS · On-site +1

$108K - $130K/yr

Develop the data pipelines required for Generative AI, including the automated extraction, chunking ... Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data ...

Cognizant

Consulting Principal, AI Architect

Topeka, KS · Remote

$122K - $194K/yr

Lead the design and delivery of generative AI and agent-enabled solutions, including context engineering, RAG pipelines, and AI platform architectures for enterprise clients. * Partner with client ...

Accenture

Knowledge Engineer Specialist

Overland Park, KS · On-site

$70K - $205K/yr

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise ... As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable ...

Accenture

Agentic DevOps Engineer

Overland Park, KS · On-site

$70K - $205K/yr

The Work We are seeking a highly motivated Agentic DevOps Engineer to support our Agentic DevOps ... Minimum of 1 year of experience in deploying and monitoring Generative AI systems in production ...

Human Agency

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...

T-Mobile

Associate AI Engineer

Overland Park, KS · On-site

$80K - $146K/yr

Knowledge of prompt engineering best practices for generative AI and large language models (LLMs), including prompt design, testing, refinement, and optimization. • Cloud Computing: Knowledge of ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for generative ai developer in Kansas is $40.39, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $48.89 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a growing field with increasing demand for developers skilled in machine learning, deep learning, and neural networks. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch, offering opportunities in technology, research, and industry applications.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning frameworks and large language models can earn higher compensation, often exceeding $180,000. Many positions also offer benefits such as bonuses, stock options, and flexible schedules.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

Which 3 jobs will survive AI?

For a Generative AI Developer, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative professionals, and strategic consultants. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and expertise in AI tools and programming languages will also help ensure job security in this field.
What are popular job titles related to Generative Ai Developer jobs in Kansas? For Generative Ai Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Kansas look for? The top searched job categories for Generative Ai Developer jobs in Kansas are:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Kansas as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,012 per year, or $40.4 per hour.

AI Developer with GEN AI , Data AI - RAG , LLMs , AI/ML - Kansas City KS - Onsite Work

Vinsari LLC

Kansas City, KS

Other

Posted 2 days ago

Job description

AI Developer with GEN AI , Data AI - RAG , LLMs , AI/ML

Location KC, USA

Onsite work

Rate: 60 $ phr on Corp- Corp

Role Overview

We are seeking a highly skilled AI Developer with strong expertise in Generative AI and Data AI to design, develop, and deploy intelligent solutions that leverage cutting-edge machine learning models. The ideal candidate will have hands-on experience with LLMs, RAG pipelines, Agentic AI systems, and data-driven AI applications, and will play a key role in building scalable, secure, and high-performing AI platforms.

Key Responsibilities

Generative AI Solutions: Design and implement applications using LLMs (e.g., GPT, Claude, Llama), including fine-tuning, prompt engineering, and multi-agent orchestration.

Data AI Development: Build and optimize data-driven AI models for analytics, forecasting, anomaly detection, and decision support.

RAG Pipelines: Develop retrieval-augmented generation workflows using vector databases (FAISS, Pinecone, Weaviate) to improve contextual accuracy.

AI/ML Infrastructure: Deploy and manage AI workloads on cloud platforms (AWS, Azure, Google Cloud Platform) with MLOps practices (CI/CD, monitoring, drift detection).

Integration & APIs: Build APIs and microservices to integrate AI models into enterprise applications.

Security & Compliance: Implement responsible AI practices including guardrails, bias detection, PII handling, and auditability.

Collaboration: Work closely with data engineers, product managers, and business stakeholders to align AI solutions with organizational goals.

Required Skills

Strong programming skills in Python.

Hands-on with LLMs, Transformers, LangChain, Hugging Face, OpenAI/Azure OpenAI.

Experience with data pipelines, ETL, and analytics tools (Databricks, Spark, SQL).

Proficiency in vector databases (FAISS, Pinecone, Weaviate).

Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).

Familiarity with MLOps tools (MLflow, Kubeflow, Jenkins, GitHub Actions).

Strong understanding of DevSecOps practices and compliance frameworks.

Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

Experience in multi-agent AI orchestration and agentic workflows.

Exposure to AI safety testing (hallucination detection, toxicity validation, bias mitigation).

Prior work in enterprise-scale AI deployments with measurable business impact.

Master s degree in Computer Science, Data Science, or Artificial Intelligence.

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