AI Engineer

Global Payments; Corpus Christi (TX); On-site; USD 150,000 - 195,000; Full time

Job summary

Global Payments is seeking a skilled AI Engineer to join the AI Engineering team. You will design, develop, and deploy ML, DL, and generative AI models that automate and optimize FinTech platforms.

Responsibilities include building scalable ML pipelines, collaborating with cross‑functional teams, and applying prompt engineering, RAG, fine-tuning, RLHF, and autonomous AI agents within cloud environments.

Qualifications

• Proven experience designing and deploying ML/DL models.
• Experience with NLP and LLM-based applications.
• Strong foundation in AI/ML systems and pipelines.

Responsibilities

• Design, develop, and deploy ML/DL and generative AI models delivering measurable value.
• Build scalable ML pipelines and courses of action using cloud-native tools.
• Collaborate with data scientists, product managers, and engineers to translate business requirements into AI solutions.
• Implement AI solutions on GCP Vertex AI, AWS Bedrock/SageMaker, and Snowflake Cortex.

Skills

Python programming

ML/DL algorithms

NLP

Communication

Collaboration

Education

Bachelor’s or Master’s in CS/Engineering

Tools

TensorFlow

PyTorch

Transformers

GCP Vertex AI

AWS SageMaker

LangChain / LangGraph

Snowflake Cortex

Job description

Global Payments enables millions of customers worldwide to securely manage payments. We provide innovative payment technology and software solutions to enterprises, financial institutions, and merchants. We are looking for a skilled AI Engineer to join our AI Engineering team and help build intelligent systems that automate, personalize, and optimize our FinTech platforms.

Responsibilities

• Design, develop, and deploy machine learning, deep learning, 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 on 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, evaluating emerging tools for enterprise adoption.
• Contribute to internal knowledge sharing, documentation, and best practices for responsible and ethical AI development.

Qualifications

• 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 (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 Google Cloud Platform.
• Excellent problem‑solving, communication, and collaboration skills.
• Bonus: Experience with prompt engineering, RLHF, and LLM evaluation techniques.
• Bonus: Understanding of AI governance, safety, and responsible AI principles.
• Bonus: Familiarity with reinforcement learning, multi‑agent systems, and autonomous workflows.
• Bonus: Experience with big data technologies (Apache Spark, Kafka) and real‑time data processing.
• Bonus: Experience with data engineering techniques and data warehousing platforms (BigQuery, Snowflake).
• Bonus: Contributions to open‑source AI projects or publications in the AI/ML field.
• Bonus: Familiarity with CI/CD pipelines, infrastructure‑as‑code, and cloud‑native AI tooling.
• Bonus: Ability to work proactively with a high level of initiative and accuracy.
• Bonus: Ability to manage multiple assignments effectively and meet established deadlines.
• Bonus: Strong interpersonal and organizational skills with attention to detail.
• Bonus: Critical thinking ability for moderately to highly complex tasks.
• Bonus: Flexibility to adapt to changing business needs and priorities.
• Bonus: Ability to work creatively and independently with minimal supervision.
• Bonus: Experience navigating organizational structures and collaborating across teams.

About the Team

Our inclusive global teams win together every day. We are a company that values curiosity, innovation, and collaboration. Working with us means being part of a rapidly evolving organization that offers dynamic opportunities across borders.

Application Requirements

Applicant must be authorized to work in the United States without the need for employment‑based visa sponsorship now or in the future. This opportunity does not sponsor visas such as H‑1B, L‑1, TN, or OPT.

Equal Employment Opportunity

Global Payments is an equal‑opportunity employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, or any other basis protected by law. If you require reasonable accommodations, please contact [e-mail].