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Remote Monitor Engineer Jobs in Arizona (NOW HIRING)

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Monitor, troubleshoot, and optimize system performance and reliability * Contribute to the creation ...

Kelso Building Services

BAS Service Technician

Tempe, AZ · Remote

$30 - $45/hr

Utilize remote monitoring tools to identify and resolve issues proactively. * Develop strong ... remote engineering resources, and a growing team of BAS experts across the country. If you are ...

New

Kelso Industries

BAS Service Technician

Phoenix, AZ · Remote

$30 - $45/hr

Utilize remote monitoring tools to identify and resolve issues proactively. * Develop strong ... remote engineering resources, and a growing team of BAS experts across the country. If you are ...

Ameresco

Senior BESS Project Engineer

Phoenix, AZ · Remote

$98K - $128K/yr

This is a remote position joining a partially remote team with home office based in the Phoenix, AZ ... Direct or personally confirm that data monitoring equipment, protective relays, controllers, meters ...

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Showing results 21-40

All JobsMonitor Engineer JobsRemote Monitor Engineer JobsRemote Monitor Engineer Jobs in Arizona

Remote Monitor Engineer information

What is the difference between Remote Monitor Engineer vs Network Operations Center (NOC) Technician?

AspectRemote Monitor EngineerNetwork Operations Center (NOC) Technician
CredentialsTypically requires certifications like CompTIA Network+, Cisco CCNAOften requires similar certifications such as CompTIA Network+ or Cisco CCNA
Work EnvironmentRemote or on-site, monitoring systems and networksPrimarily on-site at NOC facilities, monitoring network performance
Industry UsageIT, telecommunications, cybersecurityTelecommunications, internet service providers, enterprise networks
Job FocusMonitoring, troubleshooting, and maintaining network systems remotelyReal-time network monitoring, incident response, and escalation

Both roles involve network monitoring and require similar certifications. The Remote Monitor Engineer often works remotely or in a hybrid setting, focusing on system health and troubleshooting, while the NOC Technician typically works on-site, handling real-time network issues. Both are vital in maintaining network stability across industries.

What are the most commonly searched types of Monitor Engineer jobs in Arizona?

The most popular types of Monitor Engineer jobs in Arizona are:

What are popular job titles related to Remote Monitor Engineer jobs in Arizona?

For Remote Monitor Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Monitor Engineer jobs in Arizona look for?

The top searched job categories for Remote Monitor Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Monitor Engineer jobs?

Cities in Arizona with the most Remote Monitor Engineer job openings:

Remote Monitor Engineer jobs near you
Infographic showing various Remote Monitor Engineer job openings in Arizona as of August 2026, with employment types broken down into 74% Full Time, 8% Temporary, and 18% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Flagstaff, AZ • Remote

Full-time

Re-posted 17 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