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Remote Automation Engineer Manager Jobs in Tampa, FL

SHD Composite Materials Inc

Engineering Manager

Lithia, FL · Remote

$140K - $160K/yr

... leading automation initiatives, managing capital expansion projects, and supporting SHD's continued growth in North America. ----- Ideal Person Either a proven engineering manager or a senior ...

Cisco

Senior Software Engineer (Remote)

Tampa, FL · Remote

$115K - $152K/yr

... automation, scalable software, and strong engineering practices ... We partner closely with Design, Product Management, and other teams to create solutions for our ...

Humana

Senior Systems Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Location Remote Candidates must be located in one of the following markets: Louisville, KY ... automation initiatives. * Implement and enhance server software deployment and patch management ...

Humana

Senior Systems Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Location Remote Candidates must be located in one of the following markets: Louisville, KY ... automation initiatives. * Implement and enhance server software deployment and patch management ...

EXZEO GROUP, INC

Software Project Manager

Tampa, FL · On-site +1

Work closely with the Director of Product Solutions and Software Engineer Manager to prioritize ... remote workers will be required to report to a central office location for one week every quarter ...

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Remote Automation Engineer Manager information

See Tampa, FL salary details

$35K

$101.2K

$154K

How much do remote automation engineer manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote automation engineer manager in Tampa, FL is $101,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $116,700.00 per year, depending on experience, location, and employer.

Can remote automation engineer managers work remotely?

Remote automation engineer managers can work remotely, as many companies in technology and engineering fields offer remote leadership roles. Success in such positions typically requires strong communication skills, familiarity with automation tools, and the ability to manage teams virtually.

What do remote automation engineer managers get paid?

Remote automation engineer managers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. They often require skills in automation tools, programming, and team leadership, with some roles offering additional benefits for remote work arrangements.

What are popular job titles related to Remote Automation Engineer Manager jobs in Tampa, FL?

For Remote Automation Engineer Manager jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Remote Automation Engineer Manager jobs in Tampa, FL look for?

The top searched job categories for Remote Automation Engineer Manager jobs in Tampa, FL are:

Remote Automation Engineer Manager jobs near you
Infographic showing various Remote Automation Engineer Manager job openings in Tampa, FL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $101,236 per year, or $48.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Saint Petersburg, FL • Remote

Full-time

Re-posted 19 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