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Generative Ai Project Manager Jobs in Georgia (NOW HIRING)

SmartIPlace

AI Project Manager[Hybrid]

Atlanta, GA · On-site

Project Manager (AI Solutions) Project Manager (AI Solutions) Job Type: 12-Month Contract (Possible Extension) Preferred Locations: Atlanta, GA or Minneapolis, MN (3 days onsite) Overview Gravity is ...

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

... management, and project management helps us offer a unique set of tech-driven solutions and ... on Generative AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24 ...

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

... management, and project management helps us offer a unique set of tech-driven solutions and ... We are offering online training on Generative AI training. . Provide OPT Stem Ext.: Guidance and ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to ... AI for audio applications, multimodal representations, and generative modeling for audio, speech ...

AIG

Generative AI Product Owner

Atlanta, GA · On-site

With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage ...

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Generative Ai Project Manager information

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

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

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
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Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
QA with Generative AI

QA with Generative AI

Precision Technologies Corp

Alpharetta, GA • On-site

Contractor

Re-posted 20 days ago

Job description

Job Description:

The Quality Engineer for Generative AI will be responsible for ensuring the quality and reliability of the AI systems developed under the EDD GENAI project. This role involves close collaboration with the development team and key stakeholders to understand project requirements and develop comprehensive test plans. The Quality Engineer will conduct various types of testing, including unit testing, component testing, and multi-component testing, while also automating these tests to improve efficiency and reliability.

Key Responsibilities:

•Collaborate as part of a DBA fleet, focusing on QE processes with a strong emphasis on automation execution using various tools and techniques.

•Develop test strategies and plans for Generative AI implementations.

•Design and execute test cases to validate the functionality, performance, and reliability of Generative AI solutions.

•Work with stakeholders to identify testing requirements and priorities.

•Identify and document defects, issues, and risks related to Generative AI implementations.

•Collaborate closely with developers and program managers to prioritize and resolve issues promptly.

•Develop and maintain automated test scripts and frameworks for efficient and effective testing.

•Drive continuous improvement and best practices in testing methodologies and processes for Generative AI implementations.

•Stay updated on new testing approaches, tools, and strategies.

Required Skills:

•8+ years of proven work experience in Quality Engineering.

•Experience integrating LLM automation tests into CI/CD pipelines and hands-on experience in prompt engineering concepts.

•Proven experience in developing and implementing automation frameworks for Large Language Models.

•Strong programming skills in languages such as Python, Java, or similar.

•Experience with popular testing tools and frameworks (e.g., Selenium, JUnit, TestNG).

•Knowledge of Natural Language Processing (NLP) concepts and techniques.

•Familiarity with CI/CD pipelines and version control systems (e.g., Jenkins, Git).

•Strong problem-solving and analytical skills.

•Experience with automation technologies, including Selenium, JUnit, Gherkin, JMeter, and scripting languages such as Java.

Educational Qualification:

•Minimum BS degree in Computer Science, Engineering, or a related field.

Join our team and contribute to the development of cutting-edge AI solutions