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Remote Msp System Engineer Jobs in Kentucky (NOW HIRING)

Actalent

Mechanical Engineer

Lexington, KY · On-site +1

$30 - $96.15/hr

This is a fully remote opportunity for an engineer who wants to lead projects from concept through ... Strong knowledge of facilities, compressor stations, metering stations, and pipeline systems

Humana

Cyber Security Engineer

Louisville, KY · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems ...

Humana

Cyber Security Engineer

Louisville, KY · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems ...

Humana

Cyber Security Engineer

Louisville, KY · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems ...

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Remote Msp System Engineer information

What is a Remote MSP System Engineer?

A Remote MSP (Managed Service Provider) System Engineer is an IT professional who manages, maintains, and supports computer systems, networks, and infrastructure for client organizations from a remote location. They are responsible for monitoring system performance, troubleshooting issues, deploying updates, ensuring security, and assisting with IT projects. Working for an MSP means they often support multiple clients across different industries, providing proactive and reactive technical support. Their goal is to ensure clients’ IT environments run smoothly and securely without the need for on-site presence.

What are the key skills and qualifications needed to thrive as a remote MSP system engineer?

To thrive as a Remote MSP System Engineer, you need expertise in network administration, troubleshooting, and systems integration, usually backed by a degree in IT or related certifications like CompTIA Network+, Microsoft, or Cisco credentials. Familiarity with remote monitoring and management (RMM) tools, ticketing systems, and cloud platforms such as Azure or AWS is typically required. Exceptional problem-solving abilities, time management, and strong communication skills help you efficiently support clients and collaborate with distributed teams. These skills are crucial to ensure reliable IT service delivery, rapid issue resolution, and positive client experiences in a remote managed services environment.

How does a remote MSP system engineer typically collaborate with clients and internal teams to resolve technical issues?

As a Remote MSP System Engineer, you'll work closely with both client representatives and your internal support team to diagnose, troubleshoot, and resolve a variety of IT issues. Communication is often managed through ticketing systems, remote desktop tools, and regular video or phone meetings. It's common to prioritize tasks based on urgency, escalating complex problems to senior engineers or specialized teams when needed. Building strong relationships with clients and maintaining clear, proactive communication are key to ensuring high-quality service and customer satisfaction.

What is the difference between Remote Msp System Engineer vs Remote Msp Network Engineer?

AspectRemote Msp System EngineerRemote Msp Network Engineer
CertificationsCompTIA A+, Network+, Microsoft CertifiedCompTIA Network+, Cisco CCNA, Microsoft Certified
Work EnvironmentManaged service providers, client sites, remote supportManaged service providers, client sites, remote support
Employer & Industry UsageIT service providers, MSP companiesIT service providers, MSP companies
Common Search & ComparisonYesYes

The Remote Msp System Engineer primarily focuses on managing and supporting client systems, servers, and infrastructure, while the Remote Msp Network Engineer specializes in designing, configuring, and troubleshooting network infrastructure. Both roles often require similar certifications and work environments within MSP companies, but their core responsibilities differ in scope—system engineers handle broader IT environments, whereas network engineers focus specifically on network components.

What are the most commonly searched types of Msp System Engineer jobs in Kentucky?

The most popular types of Msp System Engineer jobs in Kentucky are:

What are popular job titles related to Remote Msp System Engineer jobs in Kentucky?

For Remote Msp System Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Msp System Engineer jobs in Kentucky look for?

The top searched job categories for Remote Msp System Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Msp System Engineer jobs?

Cities in Kentucky with the most Remote Msp System Engineer job openings:

Remote Msp System Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Frankfort, KY • Remote

Full-time

Re-posted 14 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