ZipRecruiter

Log In

1

Ai Engineer Contract Jobs in Kansas (NOW HIRING)

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

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 ...

Kforce Technology Staffing

Salesforce Engineer

Wichita, KS · On-site

$54.75 - $72.50/hr

Initial contract: 6-12 months * Core implementation is expected to run for 12 months Final 6 months ... Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ...

Cox Automotive

Software Engineer II

Overland Park, KS · On-site

$89K - $134K/yr

Partner with consuming teams and senior engineers to implement event schemas/contracts and support ... Experience with, or strong curiosity to incorporate, AI into development such as Agentic coding and ...

Cox Enterprises

Sr Software Engineer

Overland Park, KS · On-site

$130 - $170/hr

This is not a role where AI tools are optional or experimental. Our team works end-to-end in a spec ... contracts, and consumer UIs - operating in our spec-driven, Claude Code-native development model ...

New

Cox Automotive

Sr Software Engineer

Overland Park, KS · On-site

$101K - $169K/yr

This is not a role where AI tools are optional or experimental. Our team works end-to-end in a spec ... contracts, and consumer UIs - operating in our spec-driven, Claude Code-native development model ...

CSTECH Ai

Control Engineer

Kansas City, KS · On-site

$50 - $65/hr

Contract About the Role: We are seeking a highly experienced Control Engineer with a strong background in PLC and HMI systems to join our team in Kansas City, Kansas. The ideal candidate will bring ...

GuideTech LLC

Board Design Engineer

Lenexa, KS · Hybrid

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Partner with PCB fabrication vendors and contract manufacturers to improve manufacturability ...

GuideTech LLC

Board Design Engineer

Lenexa, KS · On-site

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Partner with PCB fabrication vendors and contract manufacturers to improve manufacturability ...

Locatee AG

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... and data contracts. Support Product and Data Analytics teams with curated datasets and high ...

GuideTech Open Roles

Board Design Engineer

Lenexa, KS · On-site

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Partner with PCB fabrication vendors and contract manufacturers to improve manufacturability ...

Locatee Ag

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... and data contracts. Support Product and Data Analytics teams with curated datasets and high ...

next page

Showing results 1-20

All JobsAi Engineer Contract JobsAi Engineer Contract Jobs in Kansas

Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

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

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

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

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are the most commonly searched types of Ai Engineer jobs in Kansas?

The most popular types of Ai Engineer jobs in Kansas are:

What are popular job titles related to Ai Engineer Contract jobs in Kansas?

For Ai Engineer Contract jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Kansas look for?

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

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

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

Ai Engineer Contract jobs near you

Lead AI Engineer

Kansas City, KS • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

$98K - $130K/yr

Full-time

Re-posted 12 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.

Apply