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Remote Generative Ai Engineer Jobs in Georgia (NOW HIRING)

Cisco

Senior Software Engineer (Remote)

Atlanta, GA · Remote

$117K - $155K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Ethos Risk Services

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

Hands-on experience with modern generative AI technologies, including prompt engineering, retrieval ... This position operates in a remote environment with frequent use of computers and office equipment.

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Knowledge of Generative AI technologies, including Large Language Models (LLMs), Retrieval ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Knowledge of Generative AI technologies, including Large Language Models (LLMs), Retrieval ...

Humana

Senior AI Implementation Lead

Atlanta, GA · On-site +1

... Generative AI solutions using LLMs, RAG architectures, vector databases, prompt engineering, and ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Atlanta, GA · On-site +1

... Generative AI solutions using LLMs, RAG architectures, vector databases, prompt engineering, and ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Atlanta, GA · On-site +1

... Generative AI solutions using LLMs, RAG architectures, vector databases, prompt engineering, and ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Remote Generative Ai Engineer information

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are the most commonly searched types of Generative Ai Engineer jobs in Georgia?

The most popular types of Generative Ai Engineer jobs in Georgia are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Georgia?

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

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

The top searched job categories for Remote Generative Ai Engineer jobs in Georgia are:

What cities in Georgia are hiring for Remote Generative Ai Engineer jobs?

Cities in Georgia with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Salesforce Architect - Sales & Service Cloud

Delan Associates, Inc.

Atlanta, GA • On-site, Remote

$66.25 - $82.25/hr

Full-time

Posted 3 days ago

New

Job description

Salesforce Architect - Sales & Service Cloud
Atlanta, GA (REMOTE)
15+ Years
Salesforce Marketing Cloud Architect-level Certification MUST
Must-Needed Skills
* Salesforce Marketing Cloud Architecture - Primary
* Salesforce Marketing Cloud Architect-level Certification
* Salesforce Sales Cloud
* Salesforce Service Cloud
* Generative AI / GenAI Architecture
* Salesforce Einstein AI
* Salesforce Agentforce
* Salesforce Architecture & Solution Design
* Salesforce Integration / APIs / Middleware
* Data Migration & Data Integration
* Salesforce Security, Governance & Data Quality
* Enterprise Salesforce Roadmap & Strategy
* Stakeholder & Technical Leadership

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