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Remote Generative Ai Engineer Jobs (NOW HIRING)

Georgia IT Inc

Generative AI Architect - Remote

Allentown PA(Remote) Generative AI Architect The Generative AI Architect will be responsible for ... Collaborate with software engineering teams to integrate generative AI capabilities into existing ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Dataiku

Generative AI Engineer

New York, NY · On-site +1

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you'll work close to the business ...

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems ... This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

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All JobsRemote Generative Ai Engineer Jobs

Remote Generative Ai Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote generative ai engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Engineer, and why are they important?

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 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.
More about Remote Generative Ai Engineer jobs
What cities are hiring for Remote Generative Ai Engineer jobs? Cities with the most Remote Generative Ai Engineer job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Remote Generative Ai Engineer jobs? States with the most job openings for Remote Generative Ai Engineer jobs include:
What job categories do people searching Remote Generative Ai Engineer jobs look for? The top searched job categories for Remote Generative Ai Engineer jobs are:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Generative AI Architect - Remote

Generative AI Architect - Remote

Georgia IT Inc

Remote

Other

Posted 8 days ago

Job description

Position: Generative AI Architect
Location: Allentown PA(Remote)
Generative AI Architect
The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities
  • Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
  • Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.
  • Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
  • Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
  • Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
  • Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy.
  • Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
  • Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards.
  • Security: Ensure that generative AI systems comply with security protocols and data protection regulations.
  • Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team.

Qualifications
Education:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.
Experience:
  • Minimum of 5 years of experience in AI/ML architecture or a related role.
  • Proven experience in designing and deploying generative AI models and solutions.
  • Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
Technical Skills:
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of API development and integration.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Excellent problem-solving and analytical abilities.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

"MUST HAVE" Skills
  • Experienced and proven track record with analyzing GenAI requirements and proposing GenAI architecture solution that applies to use case and available data. Preferably using resources available in Azure.
  • Experience with data sources used for GenAI ingestion like Sharepoint Online, Azure Blob Storage, Snowflake, Databricks.
  • Experience with Microsoft 365 Copilot and Custom Copilots.
  • Must possess expertise in prompt engineering
  • Knowledge and experience with latest GenAI solutions, practices and standards,
  • Must possess strong communication skills to be able to convey the intricacies of current GenAI architecture solutions to different audiences.
  • Knowledge and experience with GenAI testing processes and implementation
  • Knowledge and experience with latest GenAI "responsible AI" tools and implementation.
  • A tactical AND strategic mindset to delivering GenAI solution architectures so they can be easily adapted as the technology evolves.
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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