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Gen Ai Engineer Jobs in Kansas (NOW HIRING)

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Are tech savvy, have tried out building Gen AI apps. Role Overview * Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker - someone who leads from the front ...

Archgroup

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

Collaborate with cross-functional teams to help establish Arch's Gen AI Center of Excellence ... Required Skills/Experience * 3+ years of ai engineering experience * 3+ years of data science ...

Archgroup

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

Collaborate with cross-functional teams to help establish Arch's Gen AI Center of Excellence ... Required Skills/Experience * 3+ years of ai engineering experience * 3+ years of data science ...

Shield AI

Flight Test Engineer, Staff (R5006)

Wichita, KS · On-site

$120K - $190K/yr

Shield AI is seeking an experienced Flight Test Engineer to plan, execute, analyze, and improve ground and flight test operations for a fast-paced next gen aircraft system. You will work closely ...

CrowdStrike

$108K - $143K/yr

Act as a product leader for building out AI-native capabilities directly in Falcon Next-Gen SIEM ... Engineering and data science teams to conceptualize and deliver innovative AI-native solutions

All JobsGen Ai Engineer JobsGen Ai Engineer Jobs in Kansas

Gen Ai Engineer information

See Kansas salary details

$53.1K

$99.6K

$181K

How much do gen ai engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for gen ai engineer in Kansas is $99,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $118,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

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

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

How much does a generative AI engineer make?

Generative AI engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning frameworks and large language models can command higher salaries. Many positions also offer benefits such as stock options and bonuses.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.
What are popular job titles related to Gen Ai Engineer jobs in Kansas? For Gen Ai Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Gen Ai Engineer jobs in Kansas look for? The top searched job categories for Gen Ai Engineer jobs in Kansas are:
What cities in Kansas are hiring for Gen Ai Engineer jobs? Cities in Kansas with the most Gen Ai Engineer job openings:
Gen Ai Engineer jobs near you
Infographic showing various Gen Ai Engineer job openings in Kansas as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,559 per year, or $47.9 per hour.

Lead AI Engineer

Conflux Systems

Kansas City, KS • On-site

$98K - $130K/yr

Full-time

Re-posted 24 days ago

Job description

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka)
Location: Leawood, KS
Description
  • Led App Development teams and are aware of working with distributed systems
  • Are well aware of architecture (backend) and integrations
  • Taking Applications to production (so awareness of end to end working of systems)
  • Preferably know Kafka
  • Preferably worked as Data Engineering Leads
  • Are tech savvy, have tried out building Gen AI apps.

Role Overview
  • Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker - someone who leads from the front, manages delivery across the AI team, and ensures successful execution of complex, high-impact AI initiatives.
  • You will architect and deliver applied AI solutions powered by Large Language Models (LLMs) and Small Language Models (SMLs) within a distributed, production-grade ecosystem.
  • This is a hands-on technical leadership and delivery management role that combines engineering excellence, team guidance, and cross-functional collaboration. 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 that transform digital learning experiences.

Roles and Responsibilities
Delivery Management & Leadership: Manage delivery of AI engineering initiatives, ensuring projects are executed on time, within scope, and to high quality standards. Coordinate engineers and workstreams, resolve dependencies, and drive accountability.
Technical Leadership & Team Guidance: Lead and mentor AI engineers in architecture, design, and implementation of best practices. Set engineering standards for quality, reliability, and maintainability.
AI Solution Design & Development: Architect and develop Agentic AI applications using LLMs and SMLs for automation, reasoning, and content generation. Build distributed backend systems with Python, Fast API, Azure, Kafka, and Kubernetes.
Cross-Functional Collaboration: Partner with Technical Product Owners, Technical Program Managers, and Platform Engineering to define scope, success metrics, and optimize infrastructure and performance.
Innovation & Strategic Thinking: Stay current on advancements in LLMs, SMLs, RAG, and Agentic AI frameworks. Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with predictable delivery.
Productionization & Lifecycle Management: Lead productionization of AI application, ensuring reliability, observability, and lifecycle management of deployed solutions.
Qualifications
Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field-or equivalent practical experience. Minimum of 7 years in software or AI engineering, with at least 2 years in technical leadership or architectural roles, demonstrating a proven track record of delivering complex solutions.
Delivery Management Expertise: Demonstrated success managing end-to-end delivery for engineering teams or overseeing multi-stream technical projects, ensuring timely execution, high standards, and effective coordination across stakeholders.
Technical Proficiency: Deep expertise in designing and implementing distributed systems, microservices architectures, and event-driven solutions. Hands-on experience with production-grade AI systems leveraging Large Language Models (LLMs) and Small Language Models (SMLs).
Technology Stack Mastery: Advanced proficiency in Python, FastAPI, and Azure Cloud. Skilled in deploying and orchestrating solutions with Docker and Kubernetes. Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and tracing using tools like Datadog. Experienced with modern DevOps best practices to ensure system reliability and maintainability.
Additional Competencies: Working knowledge of OpenAI APIs and the Azure ecosystem, including Cosmos DB, AI Search, and Cognitive Services. Familiarity with front-end frameworks (Angular, React) and principles of UI/UX design, enabling seamless integration of intelligent backends with web applications. Exceptional communication, collaboration, and leadership abilities, with a passion for mentoring teams and driving impactful results.

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