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Remote Power Distribution Engineer Jobs in Orlando, FL

Qualus

Lead Engineer - Civil Structural

Lake Mary, FL · On-site +1

Position Overview Power your future with Qualus in our Engineering department as a Lead Civil ... power industry challenges such as distributed and variable resource integration, emergency ...

Leidos

Transmission Line Engineer

Orlando, FL · On-site +1

$73K - $132K/yr

North Region (Hybrid & Remote options available) The Opportunity Join a premier team solving the complex puzzles of the modern power grid. As a Transmission Line Engineer, you won't just be drafting ...

Qualus

Lead Engineer - Protection & Control

Lake Mary, FL · On-site +1

$89K - $118K/yr

Development of complete engineering design packages for protective relaying and communications ... power industry challenges such as distributed and variable resource integration, emergency ...

Tetra Tech

Senior Civil Engineer

Orlando, FL · On-site +1

This position is remote and/or hybrid-friendly and can be performed from a wide range of locations ... distribution systems. * Interpret and apply federal, state, and local regulations, including ...

Tetra Tech

Civil Engineer III

Orlando, FL · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... sewage distribution systems, water distribution systems, water tower and pump station design.

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All JobsPower Distribution Engineer JobsRemote Power Distribution Engineer JobsRemote Power Distribution Engineer Jobs in Orlando, FL

Remote Power Distribution Engineer information

See Orlando, FL salary details

$74.7K

$105.5K

$133K

How much do remote power distribution engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote power distribution engineer in Orlando, FL is $105,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What does a remote power distribution engineer do?

A Remote Power Distribution Engineer is responsible for designing, analyzing, and maintaining electrical power distribution systems, often from a remote location. They use specialized software and tools to monitor power grids, troubleshoot issues, and optimize the distribution of electricity to ensure reliability and efficiency. Their work may involve collaborating with field teams, planning system upgrades, and ensuring compliance with safety and regulatory standards. Remote work allows them to manage projects and resolve problems without needing to be physically present at power distribution sites.

What are the key skills and qualifications needed to thrive as a remote power distribution engineer, and why are they important?

To thrive as a Remote Power Distribution Engineer, you need a solid background in electrical engineering, power systems analysis, and a relevant engineering degree with licensure such as a Professional Engineer (PE) certification. Familiarity with software like AutoCAD, SCADA systems, and power flow analysis tools is typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate remotely are vital soft skills for this role. These competencies enable engineers to ensure safe, efficient, and reliable power distribution while coordinating with dispersed teams and stakeholders.

What are some common challenges faced by remote power distribution engineers, and how can they be effectively managed?

Remote Power Distribution Engineers often encounter challenges such as coordinating with on-site teams across different locations, troubleshooting issues without being physically present, and ensuring reliable communication with stakeholders. Effective management of these challenges involves leveraging advanced remote monitoring tools, maintaining clear communication protocols, and staying updated on the latest industry standards. Building strong relationships with field personnel and participating in regular virtual meetings can also help bridge the gap and ensure smooth project execution.

What are the most commonly searched types of Power Distribution Engineer jobs in Orlando, FL?

The most popular types of Power Distribution Engineer jobs in Orlando, FL are:

What are popular job titles related to Remote Power Distribution Engineer jobs in Orlando, FL?

For Remote Power Distribution Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Remote Power Distribution Engineer jobs in Orlando, FL look for?

The top searched job categories for Remote Power Distribution Engineer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Remote Power Distribution Engineer jobs?

Cities near Orlando, FL with the most Remote Power Distribution Engineer job openings:

Remote Power Distribution Engineer jobs near you
Infographic showing various Remote Power Distribution Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 100% Remote job distribution, with an average salary of $105,520 per year, or $50.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orlando, FL • 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