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Generative Ai Program Manager Jobs in Georgia (NOW HIRING)

Illumia, LLC

AI Transformation Lead

Atlanta, GA · On-site

This role sits at the intersection of operational excellence, generative AI deployment, and structured program management, responsible for moving Illumia from a company that has access to AI tools to ...

AIG

Generative AI Product Owner

Atlanta, GA · On-site

We will incorporate best-in-class engineering and product management principles and your guidance ... That is why we created our Total Rewards Program, a comprehensive benefits package that extends ...

ASCENSUS

Agentic AI Delivery Leader

Atlanta, GA · Hybrid

Bachelor's Degree required; MBA or equivalent advanced degree preferred. * 8+ years in digital transformation, product/program management, or consulting; 4+ years delivering AI/ML and generative AI ...

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Generative Ai Program Manager information

What does a generative AI program manager do?

A Generative AI Program Manager oversees the planning, development, and implementation of projects that use AI models capable of generating content, such as text, images, or code. They coordinate cross-functional teams, manage project timelines and resources, and ensure that generative AI solutions align with business objectives and compliance standards. This role also involves stakeholder communication, risk management, and monitoring the ethical use of AI. Generative AI Program Managers often work closely with data scientists, engineers, and product managers to deliver innovative AI-driven products and services.

What are the key skills and qualifications needed to thrive as a generative AI program manager?

To thrive as a Generative AI Program Manager, you need expertise in project management, a strong understanding of AI and machine learning concepts, and often a relevant degree in computer science or engineering. Familiarity with cloud platforms, AI development frameworks, and tools like Jira or Asana, as well as certifications such as PMP or Agile Scrum Master, are commonly required. Exceptional communication, strategic thinking, and leadership skills help you coordinate cross-functional teams and manage stakeholder expectations. These abilities ensure successful delivery of AI initiatives, alignment with business goals, and effective risk mitigation in a rapidly evolving field.

How do generative AI program managers typically collaborate with cross-functional teams during project development?

Generative AI Program Managers play a central role in coordinating efforts between data scientists, software engineers, product managers, and stakeholders to ensure project milestones are met. They facilitate communication to align technical requirements with business objectives, manage timelines, and address roadblocks promptly. Regular meetings, progress tracking tools, and clear documentation are commonly used to keep everyone informed and on the same page. This collaborative approach helps ensure that generative AI solutions are both technically robust and aligned with organizational goals.

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

AspectGenerative Ai Program ManagerData Scientist
Required CredentialsBackground in AI, project management, and sometimes certifications in AI or product managementDegree in Computer Science, Statistics, or related field; often with certifications in data analysis or machine learning
Work EnvironmentLeads cross-functional teams, manages AI projects, collaborates with engineers and stakeholdersAnalyzes data, develops models, and interprets results primarily within data-focused teams
Employer & Industry UsageTech companies, AI startups, and organizations deploying generative AI solutionsTech firms, research institutions, and industries utilizing data analytics and machine learning

While both roles involve AI and data skills, the Generative Ai Program Manager focuses on overseeing AI projects and managing teams, whereas the Data Scientist primarily analyzes data and develops models. The Program Manager ensures project delivery, while the Data Scientist provides technical insights.

Infographic showing various Generative Ai Program Manager job openings in Georgia as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Lawrenceville, GA • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 21 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