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Generative Ai Project Manager Jobs in Georgia (NOW HIRING)

Understand best practices for data management, maintenance, reporting and security and use that ... Contributions to the AI community through publications, open-source projects, or conference ...

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 ...

Required Skills Change Management, Executive Presence, Generative AI, Project Management, Risk Management, Stakeholder Management, Storytelling Language English Language Proficiency - Proficient - C2 ...

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 ...

Job Title: Sr. Manager Generative Engineering Location: Vienna, VA Job Summary: Our client is ... project outcomes. * Expert ability to communicate effectively about AI with a broad range of ...

Scrum Master/Project Manager

Atlanta, GA

$52.75 - $70/hr

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 ...

Project Management Reports to: Program Manager Location: This position is HYBRID in Portland, OR ... Familiarity with Generative AI tools (ChatGPT, Gemini) for professional writing, note-taking ...

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Generative Ai Project Manager information

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.

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 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 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 are popular job titles related to Generative Ai Project Manager jobs in Georgia? For Generative Ai Project Manager jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Generative Ai Project Manager jobs? Cities in Georgia with the most Generative Ai Project Manager job openings:
Infographic showing various Generative Ai Project Manager job openings in Georgia as of May 2026, with employment types broken down into 6% Internship, 76% Full Time, 6% Part Time, and 12% Contract. Highlights an 87% In-person, and 13% Remote job distribution.
Generative AI Engineer

Generative AI Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
What you'll do
  • Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model.
  • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.
  • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.
  • Perform design, creation, and interpretation of large and highly complex datasets.
  • Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
  • Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.
  • Implement security best practices in pipelines and infrastructure.
  • Develop and implement data quality checks and troubleshoot data anomalies.
  • Provide guidance and mentorship to junior data engineers.
  • Review dataset implementations performed by junior data engineers.

What experience you need
  • BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred
  • 5+ years of experience as a data engineer or related role
  • Cloud certification strongly preferred
  • Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages
  • Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
  • Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
  • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance
  • Demonstrates advanced Git usage and CI/CD integration skills

What could set you apart
  • Master's degree in a related field is a strong plus
  • Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
  • Strong foundational skills in Linux Operating System.
  • Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
  • Background in credit risk, financial data analytics or risk modeling.
  • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
  • Experience in Business Intelligence, data visualization, and customer insights
  • generation.
  • Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
  • Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
  • Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
  • Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
  • Contributions to the AI community through publications, open-source projects, or conference presentations.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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