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Manager Generative Ai Jobs in Georgia (NOW HIRING)

... generative systems. * Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models. * Stay current with AI research and industry trends, and evaluate ...

Qualifications • 10+ years of experience in IT/program management, including experience leading large transformation programs. • Strong understanding of AI/ML, Generative AI, LLMs, Agentic AI and ...

New

Team Functions This leader directly manages a team covering five core areas: Generative AI Strategy Drive the strategic roadmap for generative AI capabilities within the Help Agent - including ...

The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate with cross-functional teams to innovate and manage risk effectively. Responsibilities : • Oversee ...

Drive the overarching enablement strategy for Generative AI (text, image, video, dynamic creative ... Partner with technology leadership to evaluate vendors, manage proof-of-concept (POC) trials, and ...

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 ...

Showing results 41-60

Manager Generative Ai information

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

AspectManager Generative AiData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI project managementDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentLeads AI teams, collaborates with product and engineering teams, oversees AI projectsAnalyzes data, develops models, and provides insights; often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that a Manager Generative Ai oversees AI projects and teams focusing on generative models, while a Data Scientist primarily analyzes data and develops models. Managers focus on leadership and strategy, whereas Data Scientists focus on technical analysis and model development.

What are the most commonly searched types of Generative Ai jobs in Georgia?

The most popular types of Generative Ai jobs in Georgia are:

What cities in Georgia are hiring for Manager Generative Ai jobs?

Cities in Georgia with the most Manager Generative Ai job openings:

Full-time

Re-posted 10 days ago


Job description

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

Ready to take your careerglobal?

Make your mark at one of the biggest names in payments. We are seeking a highly skilled and forward-thinking AI Engineer to join our AI Engineering team. This role is ideal for a hands-on technologist with deep expertise in machine learning (ML) and deep learning (DL), and a strong working knowledge of Generative AI technologies. You will design, build, and optimize intelligent systems that power automation, personalization, and decision-making across our FinTech platforms. This is a unique opportunity to work at the intersection of cutting-edge AI research and real-world enterprise applications.


Whatyou'llown

  • Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems and deliver measurable value.
  • Build and maintain scalable ML pipelines and agentic workflows using modern frameworks and cloud-native tools.
  • Collaborate with data scientists, product managers, and engineers to translate business requirements into AI-powered solutions.
  • Implement and optimize AI solutions using platforms such as GCP Vertex AI, AWS Bedrock/SageMaker, and Snowflake Cortex.
  • Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance.
  • Develop and deploy autonomous AI agents using frameworks like LangChain, LangGraph, and AgentSpace.
  • Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and memory in generative systems.
  • Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models.
  • Stay current with AI research and industry trends, and evaluate emerging tools and techniques for enterprise adoption.
  • Contribute to internal knowledge sharing, documentation, and best practices for responsible and ethical AI development.

Whatyou'llbring

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in AI/ML engineering, with a strong foundation in ML/DL algorithms and systems.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and Transformers.
  • Hands-on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.
  • Experience with NLP, conversational AI, and LLM-based applications.
  • Familiarity with vector search and semantic retrieval technologies.
  • Strong understanding of MLOps, including model deployment, monitoring, and retraining.
  • Experience building production-grade AI systems at scale in cloud environments.
  • Hands-on experience with development on Google Cloud Platform.
  • Excellent problem-solving, communication, and collaboration skills.

It'sa bonus if you have

  • Experience with prompt engineering, RLHF, and LLM evaluation techniques.
  • Understanding of AI governance, safety, and responsible AI principles.
  • Familiarity with reinforcement learning, multi-agent systems, and autonomous workflows.
  • Experience with big data technologies (e.g., Apache Spark, Kafka) and real-time data processing.
  • Experience with data engineering techniques and data warehousing platforms (e.g. BigQuery, Snowflake).
  • Contributions to open-source AI projects or publications in the AI/ML field.Familiarity with CI/CD pipelines, infrastructure-as-code, and cloud-native AI tooling.
  • Ability to work proactively with a high level of initiative and accuracy.
  • Ability to manage multiple assignments effectively and meet established deadlines.
  • Strong interpersonal skills to interact professionally with staff and stakeholders.
  • Excellent organizational skills and attention to detail.
  • Critical thinking ability ranging from moderately to highly complex tasks.
  • Flexibility in adapting to changing business needs and priorities.
  • Ability to work creatively and independently with minimal supervision.
  • Ability to utilize experience and judgment in accomplishing goals.
  • Experience in navigating organizational structures and collaborating across teams.

About the team

Our inclusive and global teams win together every day.We'reproud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections -it'sunmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

What makes aGlobalpayer?

Globalpayersthink like a client, act like anownerand win as one team.We'recurious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, andit'sour passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like aGlobalpayer. Apply now to take your careerglobal. https://jobs.globalpayments.com/en/why-global-payments/benefits/

Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; We will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Diversity and EEO Statements

Global Payments is an organization that stands against racism, intolerance and injustice in all its forms - one that respects, honors and celebrates the diversity of our team members and the differences among us. Our commitment to fostering a company culture that values and respects Inclusion and Diversity is steadfast. Standing together as one company, we will continue to work to drive positive change for the communities in which we live and work and stamp out injustice.

linkedin.com/in/shonali-r-66744622 -SB

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpayments.com.