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Remote Windows Systems Engineer Jobs in Kansas (NOW HIRING)

Harris

You will serve as a subject matter expert on geographic information systems, collaborating across ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

You will serve as a subject matter expert on geographic information systems, collaborating across ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Quora

AI Automation Engineer -Remote

Kansas City, KS · On-site +1

$202K - $234K/yr

Develop and maintain internal tools and systems that automate existing work and increase employee ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Pittsburg, KS · On-site +1

$202K - $234K/yr

Develop and maintain internal tools and systems that automate existing work and increase employee ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Topeka, KS · On-site +1

$202K - $234K/yr

Develop and maintain internal tools and systems that automate existing work and increase employee ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Overland Park, KS · On-site +1

$202K - $234K/yr

Develop and maintain internal tools and systems that automate existing work and increase employee ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Wichita, KS · On-site +1

$202K - $234K/yr

Develop and maintain internal tools and systems that automate existing work and increase employee ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Array

$80 - $100/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... Collaborate closely with Product Design to extend and evolve our design system, ensuring components ...

L3HHCM20

Lead, Electrical Engineer

Wichita, KS · Remote

$143K - $149K/yr

Lead, Electrical Engineer Job Code: 36667 Job Location: Greenville, TX/San Antonio, TX/Wichita, KS ... systems, and solutions that enhance organizational performance. This position will be remote with ...

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... or remote sensing * Skilled in designing end-to-end ML systems - from data ingestion and ...

NinjaOne

Staff Performance Software Engineer

Kansas, KS · On-site +1

... systems that are highly responsive, reliable, and scalable. You will analyze applications ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

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Remote Windows Systems Engineer information

What are some common challenges faced by Remote Windows Systems Engineers, and how can they be effectively managed?

Remote Windows Systems Engineers often encounter challenges such as troubleshooting complex system issues without direct physical access, ensuring secure remote connectivity, and coordinating across distributed teams and time zones. Effective management of these challenges involves utilizing robust remote monitoring and management tools, maintaining clear and regular communication with colleagues, and following best practices for system security and documentation. Staying proactive with updates and leveraging collaboration platforms can significantly enhance productivity and reduce downtime.

What is the difference between Remote Windows Systems Engineer vs Remote Network Administrator?

AspectRemote Windows Systems EngineerRemote Network Administrator
CertificationsMicrosoft Certified: Windows Server, CompTIA Network+Cisco CCNA, CompTIA Network+
Work EnvironmentManaging Windows servers, troubleshooting OS issues, deploying updatesConfiguring and maintaining network infrastructure, monitoring network performance
Industry UsageIT, technology, enterprise environmentsIT, telecommunications, service providers
Search IntentFocus on Windows server management and supportFocus on network infrastructure and connectivity

The Remote Windows Systems Engineer primarily manages and supports Windows server environments, ensuring system stability and security. In contrast, the Remote Network Administrator focuses on maintaining network infrastructure, including routers, switches, and connectivity. While both roles require networking knowledge and certifications, their core responsibilities differ, with the Systems Engineer centered on Windows OS and server management, and the Network Administrator on network hardware and connectivity.

What does a Remote Windows Systems Engineer do?

A Remote Windows Systems Engineer is responsible for designing, implementing, and maintaining Windows-based server environments from a remote location. They manage tasks such as installing updates, configuring security settings, troubleshooting technical issues, and ensuring system performance and reliability. These engineers often work with cloud platforms, virtualization technologies, and collaborate with IT teams to support business operations. Their remote role allows them to provide support and maintenance without being physically present on-site.

What are the key skills and qualifications needed to thrive as a Remote Windows Systems Engineer, and why are they important?

To thrive as a Remote Windows Systems Engineer, you need expertise in Windows Server administration, system troubleshooting, and network protocols, often backed by a degree in IT or computer science and certifications like Microsoft Certified: Windows Server Hybrid Administrator Associate. Familiarity with tools such as Active Directory, PowerShell, virtualization platforms, and remote management software is essential. Strong problem-solving abilities, effective communication, and self-motivation are critical soft skills for managing systems and collaborating virtually. These skills ensure secure, reliable system operations and efficient remote support in distributed IT environments.
What are popular job titles related to Remote Windows Systems Engineer jobs in Kansas? For Remote Windows Systems Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Windows Systems Engineer jobs in Kansas look for? The top searched job categories for Remote Windows Systems Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Windows Systems Engineer jobs? Cities in Kansas with the most Remote Windows Systems Engineer job openings:
Remote Windows Systems Engineer jobs near you
Infographic showing various Remote Windows Systems Engineer job openings in Kansas as of June 2026, with employment types broken down into 65% Full Time, 31% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, KS • Remote

Other

Posted 26 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply