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Global Payment Holding Company

AI Engineer

Global Payment Holding Company
Alpharetta, GA Full time Posted 12d ago
Agentic Ai Ai Agent Ai Ml Artificial Intelligence Artificial Intelligence Engineer Data Pipeline Data Science Database Databases Deep Learning Generative AI Machine Learning Machine Learning Engineer PyTorch Rag Architectures TensorFlow
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Job Description

Build and scale AI that drives automation, personalization, and better decisions across FinTech platforms. This onsite AI Engineering role at Global Payment Holding Company supports an AI Engineering team focused on developing and optimizing ML/DL and Generative AI systems. You’ll work with cloud and AI platforms to turn model development into production outcomes, while contributing to knowledge sharing and responsible AI practices.

What you’ll do

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

What you bring

  • A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of AI/ML engineering experience, with strong fundamentals in ML/DL algorithms and systems.
  • Proficiency in Python and ML libraries including TensorFlow, PyTorch, and Transformers.
  • Hands-on experience with Generative AI models (for example, 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 deployment, monitoring, and retraining.
  • Experience building production-grade AI systems at scale in cloud environments.
  • Hands-on development experience on Google Cloud Platform.
  • Excellent problem-solving, communication, and collaboration skills.

Tools and technologies you’ll use

  • Python, TensorFlow, PyTorch, Transformers
  • GCP Vertex AI, AWS Bedrock, SageMaker, Snowflake Cortex
  • LangChain, LangGraph, AgentSpace, PGVector
  • CI/CD, RAG (Retrieval-Augmented Generation), RLHF

Bonus (if you have it)

  • 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 and real-time processing (for example, Apache Spark, Kafka).
  • Experience with data engineering and data warehousing (for example, BigQuery, Snowflake).
  • Contributions to open-source AI projects or publications in AI/ML.
  • Familiarity with CI/CD pipelines, infrastructure-as-code, and cloud-native AI tooling.
  • Proactive initiative, strong accuracy, and the ability to manage multiple assignments and meet deadlines.
  • Interpersonal skills, organizational skills, attention to detail, and strong critical thinking.
  • Flexibility in adapting to changing priorities and the ability to work creatively and independently with minimal supervision.
  • Experience navigating organizational structures and collaborating across teams.

Team culture

Our inclusive and global teams win together every day. Globalpayers think like a client, act like an owner, and win as one team, with a focus on curiosity, innovation, empowerment, and excellence.

Location and work authorization

Alpharetta, GA (onsite). The applicant must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future. 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.

Additional information

  • If you receive a conditional offer and will work in the United States, you will be required to undergo a drug test.
  • Reasonable accommodations will be provided for individuals with qualified disabilities during the hiring process and to perform essential job functions.
  • Washington candidates: Click here for information on the Fair Chance Act.

Diversity and EEO

Global Payments stands against racism, intolerance, and injustice in all forms and is an equal opportunity employer. Applications are evaluated without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, or other protected characteristics.

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