GenAI Engineer

Technical Recruitment Specialist at Global Payments

At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or applicable country) on a full-time basis without the need for current or future immigration sponsorship

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 up-to-date and relevant data.
• Fine-tune and evaluate foundation models using both proprietary and open-source technology.
• Develop agentic architectures using tools like Lang Graph, CrewAI, Auto Gen, and others to orchestrate multi-step 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 cross-functional 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:

• Bachelor’s 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.
• Hands-on experience with GCP Vertex AI, AWS Bedrock + Sagemaker, and Snowflake Cortex platforms and their AI/ML capabilities.
• Experience with machine learning frameworks (Tensor Flow, PyTorch, Hugging Face Transformers).
• Experience with AI frameworks such as Lang Chain, Llama Index, Lang Graph, CrewAI, Auto Gen, etc.
• Experience with Natural Language Processing (NLP) and building conversational AI agents.
• 
  
  Experience with vector databases (eg. Pinecone, Mongo
  
  DB Atlas, Open Search, pg Vector, FAISS, Qdrant, etc)
• Experience building production-grade AI/ML systems at scale.
• Knowledge of MLOps practices, including model deployment and lifecycle management.
• Excellent problem-solving 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 Snowflake’s cloud integrations.
• Experience with real-time data processing and streaming analytics.
• Publications or contributions to open-source 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.

• Associate

• Full-time

• Information Technology