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Non Exempt Generative Ai Project Manager Jobs in Virginia

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Non Exempt Generative Ai Project Manager information

How much do non exempt generative ai project managers make?

Non-exempt generative AI project managers typically earn between $70,000 and $110,000 annually, depending on experience, location, and company size. They often work in environments requiring familiarity with AI tools, project management certifications, and adherence to labor regulations regarding overtime pay.

How does a non exempt generative AI project manager typically collaborate with technical and non-technical team members during project lifecycles?

As a Non Exempt Generative AI Project Manager, you will frequently bridge communication between AI engineers, data scientists, designers, and stakeholders from non-technical backgrounds. Your role involves translating technical requirements into actionable tasks, facilitating daily stand-ups, and ensuring everyone remains aligned with project goals and deadlines. Regular coordination meetings, progress updates, and documentation are essential to address roadblocks and manage expectations across the team. This collaborative approach helps ensure that both technical accuracy and project objectives are achieved efficiently.

What is a non exempt generative AI project manager?

A Non Exempt Generative AI Project Manager is a professional responsible for overseeing projects related to generative artificial intelligence technologies, such as machine learning models that create content or data. The 'non exempt' designation typically refers to an employee who is eligible for overtime pay according to labor laws, often meaning they are paid hourly rather than salaried. This role involves coordinating teams, managing timelines, and ensuring that generative AI projects meet their objectives while adhering to regulatory and ethical standards. Non Exempt Project Managers may also be more involved in hands-on tasks and detailed project tracking. They play a key role in facilitating communication between technical staff and stakeholders.

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

To thrive as a Non Exempt Generative AI Project Manager, you need strong project management skills, a foundational understanding of AI concepts, and experience with cross-functional team coordination, typically supported by a bachelor’s degree in a related field. Familiarity with project management software (like Jira or Asana), documentation tools, and a general awareness of AI development platforms is important. Exceptional communication, organizational abilities, and adaptability help manage both technical and non-technical stakeholders effectively. These skills ensure projects are delivered on time, within scope, and align with organizational objectives in the rapidly evolving field of generative AI.

What is the difference between Non Exempt Generative Ai Project Manager vs Non Exempt Data Analyst?

AspectNon Exempt Generative Ai Project ManagerNon Exempt Data Analyst
CredentialsRelevant certifications in AI, project management, or related fieldsDegree in data science, statistics, or related field; certifications like CAP or Microsoft Certified
Work EnvironmentCollaborates with AI teams, manages projects, and oversees AI implementationAnalyzes data sets, creates reports, and supports decision-making processes
Employer & Industry UsageTech companies, AI startups, and organizations deploying AI solutionsFinance, healthcare, marketing, and other industries relying on data insights

The Non Exempt Generative Ai Project Manager focuses on managing AI projects involving generative models, requiring project management skills and AI knowledge. In contrast, the Non Exempt Data Analyst primarily analyzes data to extract insights, supporting business decisions. Both roles are essential in tech-driven environments but differ in responsibilities and skill sets.

What are popular job titles related to Non Exempt Generative Ai Project Manager jobs in Virginia? For Non Exempt Generative Ai Project Manager jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Non Exempt Generative Ai Project Manager jobs? Cities in Virginia with the most Non Exempt Generative Ai Project Manager job openings:
Non Exempt Generative Ai Project Manager jobs near you
Infographic showing various Non Exempt Generative Ai Project Manager job openings in Virginia 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.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Harrisonburg, VA • Remote

Full-time

Re-posted 18 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