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Remote Reliability Manager Jobs in Kansas (NOW HIRING)

Your work will directly influence the reliability and security of thousands of organizations around ... management, autonomous patching, backup, and remote access in a single console to improve ...

Ensure compliance with NERC standards and regional reliability criteria. * Engage utilities, ISOs ... Remote * Travel: Approximately 10% EPRI is committed to complying with the regulatory framework ...

... SRE and observability practice, and build an Internal Developer Platform with golden paths that ... Deep OpenTofu/Terraform proficiency: module authoring, state management, workspace strategy, remote ...

... SRE and observability practice, and build an Internal Developer Platform with golden paths that ... Deep OpenTofu/Terraform proficiency: module authoring, state management, workspace strategy, remote ...

This role is fully remote-friendly, with team members distributed across the US and Canada ... Influence standards for engineering quality, architecture, resiliency, risk management, and ...

Information Technology LOCATION Kansas City, MO (Hybrid/Remote options available) PAY RANGE ... This role is critical to the development, maintenance, and enhancement of our outage management and ...

Information Technology LOCATION Kansas City, MO (Hybrid/Remote options available) PAY RANGE ... This role is critical to the development, maintenance, and enhancement of our outage management and ...

$80 - $100/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... You'll report to an Engineering Manager and work within a squad responsible for one of our product ...

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

... reliability, and consistency. * Automation & Optimization: Automate and optimize data workflows to ... NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management ...

... reliability, and consistency. * Automation & Optimization: Automate and optimize data workflows to ... NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management ...

Establish reliability and operational excellence Set reliability standards and practices (SLOs/SLIs ... Lead technical reviews for identity, access, auditability, logging, change management, and incident ...

Establish reliability and operational excellence Set reliability standards and practices (SLOs/SLIs ... Lead technical reviews for identity, access, auditability, logging, change management, and incident ...

... reliability and performance. Make quality an invariant part of your work and help your fellow ... management, autonomous patching, backup, and remote access in a single console to improve ...

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Remote Reliability Manager information

What is the difference between Remote Reliability Manager vs Remote Maintenance Engineer?

AspectRemote Reliability ManagerRemote Maintenance Engineer
CredentialsEngineering degree, certifications in reliability or asset managementEngineering degree, certifications in maintenance or technical skills
Work EnvironmentOversees reliability strategies remotely, collaborates with teamsPerforms maintenance tasks remotely or on-site, technical troubleshooting
Industry UsageUsed across manufacturing, energy, and industrial sectorsCommon in manufacturing, utilities, and industrial facilities
Search IntentComparing reliability management roles with maintenance rolesLooking for maintenance-focused remote engineering jobs

The Remote Reliability Manager focuses on developing and implementing strategies to improve asset reliability remotely, often overseeing teams and analyzing data. In contrast, the Remote Maintenance Engineer handles technical maintenance tasks, troubleshooting, and repairs remotely or on-site. Both roles require engineering credentials and are prevalent in industrial sectors, but their core responsibilities differ—one emphasizes strategic reliability management, the other technical maintenance execution.

What are popular job titles related to Remote Reliability Manager jobs in Kansas? For Remote Reliability Manager jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Reliability Manager jobs in Kansas look for? The top searched job categories for Remote Reliability Manager jobs in Kansas are:
What cities in Kansas are hiring for Remote Reliability Manager jobs? Cities in Kansas with the most Remote Reliability Manager job openings:
Infographic showing various Remote Reliability Manager job openings in Kansas as of June 2026, with employment types broken down into 2% As Needed, 89% Full Time, 7% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Overland Park, KS • Remote

Other

This job post has expired today. Applications are no longer accepted.


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.