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Remote Generative Ai Project Manager Jobs in Georgia

3B Staffing LLC

Lead AI Engineer

Atlanta, GA · Remote

$98K - $129K/yr

Contract REMOTE GC/USC 7+ years in AI/ML and data engineering, expertise in Agentic AI frameworks (LangGraph, CrewAI, Semantic Kernel), Python, generative AI, RAG/NLP, Vector DBs, Knowledge Graphs ...

3B Staffing LLC

Lead AI Engineer

Atlanta, GA · Remote

$98K - $129K/yr

Contract REMOTE GC/USC 7+ years in AI/ML and data engineering, expertise in Agentic AI frameworks (LangGraph, CrewAI, Semantic Kernel), Python, generative AI, RAG/NLP, Vector DBs, Knowledge Graphs ...

CSAA

... management of AI/ML solutions and Generative AI services. * Establish operational standards ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ... Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · Remote

... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ... Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project ...

Fish & Richardson

Senior eDiscovery Analyst

Atlanta, GA · Remote

$88K - $112K/yr

Update, organize, and maintain logs, reports, and other project management materials. * Research ... Serve as a subject-matter resource for generative AI and analytics tools, mentoring analysts and ...

YO AI Labs

Medical Auditor - Remote

Atlanta, GA · Remote

$50 - $70/hr

... are AI project. In this role, you will help improve next-generation AI systems by reviewing ... Support audit program management initiatives using healthcare coding and compliance expertise.

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Remote Generative Ai Project Manager information

What is a remote generative AI project manager?

Remote Generative AI Project Managers are professionals who oversee projects involving the development and implementation of generative artificial intelligence technologies, such as AI that creates text, images, or other content. They coordinate teams, manage timelines and budgets, and ensure project goals are met—all while working remotely. These managers often act as a bridge between technical teams and stakeholders, making sure projects align with business objectives. Their role requires a blend of project management skills, understanding of AI concepts, and the ability to work effectively in virtual environments.

How does a remote generative AI project manager typically collaborate with cross-functional teams to ensure project success?

Remote Generative AI Project Managers frequently coordinate with data scientists, engineers, product managers, and stakeholders across different locations and time zones. They use a combination of virtual collaboration tools, regular video meetings, and project management platforms to track progress, clarify requirements, and address challenges as they arise. Effective communication and proactive status updates are essential to aligning team efforts, managing expectations, and ensuring timely delivery of AI-driven solutions. Establishing clear workflows and fostering a culture of transparency help maintain momentum and drive successful outcomes, even in a fully remote environment.

What are the key skills and qualifications needed to thrive as a remote generative AI project manager, and why are they important?

To thrive as a Remote Generative AI Project Manager, you need expertise in project management methodologies, a solid understanding of AI concepts, and a relevant degree or certification such as PMP or Agile. Familiarity with AI development tools, collaboration platforms like Jira or Asana, and cloud-based environments is typically required. Outstanding communication, problem-solving abilities, and the capacity to lead cross-functional remote teams are essential soft skills. These competencies ensure effective coordination, timely delivery of AI projects, and seamless collaboration in a remote work environment.

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For Remote Generative Ai Project Manager jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Project Manager jobs in Georgia look for?

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Remote Generative Ai Project Manager jobs near you
Infographic showing various Remote Generative Ai Project Manager job openings in Georgia as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Valdosta, GA • Remote

Full-time

Re-posted 16 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