GenAI Engineer

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 1300 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 bestinclass payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

RESPONSIBILITIES

• Design develop implement test and maintain Generative AI models and agentic workflows using GCP Vertex AI AWS Bedrock and Snowflake Cortex.

• Build and integrate Retrieval Augmented Generation (RAG) systems to ground the responses of AI solutions with uptodate and relevant data.

• Finetune and evaluate foundation models using both proprietary and opensource technology.

• Develop agentic architectures using tools like LangGraph CrewAI AutoGen and others to orchestrate multistep reasoning planning and tool use.

• Build and optimize AI agents that can interface with MCP servers APIs databases take contextual actions and autonomously execute business workflows.

• Collaborate closely with data scientists data engineers and stakeholders to understand requirements and deliver AI solutions that meet business needs.

• Implement best practices for model deployment monitoring validation and retraining on GCP Vertex AI AWS Bedrock and Snowflake Cortex.

• Work with crossfunctional IT and business teams in an Agile environment to deliver successful AI solutions.

• Document processes models and configurations for knowledge sharing and compliance.

• Stay current with the latest in generative AI research and translate breakthroughs into applied business solutions

Must Haves:

• Bachelors degree in Computer Science Engineering or a related field.

• 4 years of experience in AI/ML engineering with a focus on Generative AI.

• Proficiency in programming languages such as Python

• Strong understanding of Generative AI models (e.g. GPT Transformer architectures) and experience in distilling tuning and training them.

• Familiarity with Retrieval Augmented Generation (RAG) techniques and their implementation.

• Experience with agentic AI concepts and developing autonomous AI workflows.

• Handson experience with GCP Vertex AI AWS Bedrock Sagemaker and Snowflake Cortex platforms and their AI/ML capabilities..

• Experience with machine learning frameworks (TensorFlow PyTorch Hugging Face Transformers).

• Experience with AI frameworks such as LangChain LlamaIndex LangGraph CrewAI AutoGen etc.

• Experience with Natural Language Processing (NLP) and building conversational AI agents.

• Experience with vector databases (eg. Pinecone MongoDB Atlas OpenSearch pgVector FAISS Qdrant etc)

• Experience building productiongrade AI/ML systems at scale.

• Knowledge of MLOps practices including model deployment and lifecycle management.

• Excellent problemsolving and analytical skills.

• Excellent communication and collaboration skills.

Bonus Attributes:

• Familiarity with Prompt Engineering RLHF and model evaluation techniques.

• Understanding of AI governance safety and responsible principles.

• Understanding of reinforcement learning and its application in agentic AI.

• Familiarity with big data technologies (Apache Spark Kafka)

• Experience with CI/CD tools and automation for AI/ML workflows.

• Familiarity with Snowflakes cloud integrations.

• Experience with realtime data processing and streaming analytics.

• Publications or contributions to opensource projects in the AI/ML field.

Abilities:

• 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.

Travel Required: 2%

Physical Demands:

• Standing/ Walking minimal level

• Sitting moderate to high level

• Lifting up to 15 lbs.

• Visual Concentration high level

• Work Environment typical office environment.

Position Type and Expected Hours of Work: Full Time

Disclaimer:

The above statement is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of responsibilities duties and skills required.

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 .