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Remote Generative Ai Project Manager Jobs (NOW HIRING)

Georgia IT Inc

Generative AI Architect - Remote

Collaboration: Work closely with data scientists, engineers, product managers, and other ... project delivery. * Documentation & Standards: Create comprehensive documentation for AI ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

... ongoing projects. Leadership & Management * Partners with Business Units to provide reliable ... Strong foundational knowledge in generative AI model development, architectures, and vector ...

Innodata Inc.

Generative AI Annotator

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Specialist

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Genesis10

Generative AI Engineer - Remote

... management skills Preferred : • Experience building multi-agent AI systems • Experience with Anthropic Claude, Llama, OpenAI, or Gemini models • Experience with graph databases such as Neptune ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Document and quality-assure all project work prior to client delivery; attend meetings with agency ... Advanced SQL, cloud-native data pipeline management, and ETL workflows Domain Expertise ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Document and quality-assure all project work prior to client delivery; attend meetings with agency ... Advanced SQL, cloud-native data pipeline management, and ETL workflows Domain Expertise ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Document and quality-assure all project work prior to client delivery; attend meetings with agency ... Advanced SQL, cloud-native data pipeline management, and ETL workflows Domain Expertise ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Exposure to large language models (LLMs) through coursework, research projects, or personal ...

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How much do remote generative ai project manager jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for remote generative ai project manager in the United States is $54.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $63.46 per hour, depending on experience, location, and employer.

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.

What are Remote Generative AI Project Managers?

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.
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Remote Generative Ai Project Manager jobs near you
Generative AI Architect - Remote

Generative AI Architect - Remote

Georgia IT Inc

Remote

Other

Posted 3 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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