Global Payments Inc.
AI Solutions Architect
Join to apply for the
AI Solutions Architect
role at
Global Payments Inc.
At this time, we are unable to offer visa sponsorship for this position (H1b/OPT). 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.
Overview The AI Solutions Architect is a hands‑on professional experienced in building scalable generative AI and machine learning solutions. The ideal candidate has a strong background in generative AI and ML engineering and feels comfortable working closely with business stakeholders to understand their needs and match them with scalable AI‑driven solutions that drive real business value. This role requires a unique blend of expert‑level technical expertise and sales acumen to identify practical AI applications, provide technical guidance, architectural oversight, and ensure the right team is engaged for successful implementation and deployment of AI products.
Responsibilities
Lead end‑to‑end tech stack assessment and architecture design for generative AI and machine learning solutions; develop detailed solution architectures for AI projects.
Serve as subject‑matter expert on AI technologies and lead hands‑on development of generative AI solutions.
Collaborate with business stakeholders to understand their business needs and demonstrate the art of the possible with AI solutions.
Evaluate and select appropriate generative AI components and strategies based on strategic and tactical objectives.
Ensure that AI solutions are designed to deliver significant business value and meet client expectations.
Collaborate closely and build deep relationships with senior technical individuals from within our company or technology partners to enable successful implementation.
Build and optimize data and AI architectures to operate at scale.
Help foster an AI‑driven culture within the organization via information sharing, engineering excellence, and operational efficiency.
Stay updated with the latest trends and best practices in generative AI engineering and technologies.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
Typically minimum 8 years of relevant experience.
Four‑year college degree and 6 or more years, and/or a high school diploma with 8 or more years of professional experience with full life‑cycle design and development.
Experience using Lucid (or a similar diagramming suite) for architectural diagrams and collaboration.
Experience building architectural design using Lucid.
Preferred Qualifications
Master’s degree in Computer Science or Information Systems.
Desired Skills and Capabilities
Expert level understanding of large language models, computer vision, recommender systems, machine learning, and advanced RAG systems.
5+ years of experience demonstrating an established track record in generative AI and machine learning.
Proficiency in designing and implementing scalable systems.
Proven track record in architecting and deploying intelligent systems in production, from strategy to execution.
Strong proficiency in deep learning frameworks such as PyTorch and TensorFlow.
Experience in agentic AI implementations using frameworks like AutoGen, CrewAI, LangChain, along with LLMs, SLMs, and LGMs.
Cloud platform experience: AWS, GCP.
Understanding of containerization technologies: Kubernetes, Docker.
Passionate about solving complex problems and excellent analytical skills.
Strong familiarity with embeddings, retrieval algorithms, strategies for model training and fine‑tuning, neural networks, deep learning, and data modeling for vector databases.
Ability to translate technical AI concepts into clear, business‑focused insights.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Financial Services and IT Services and IT Consulting
#J-18808-Ljbffr
Join to apply for the
AI Solutions Architect
role at
Global Payments Inc.
At this time, we are unable to offer visa sponsorship for this position (H1b/OPT). 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.
Overview The AI Solutions Architect is a hands‑on professional experienced in building scalable generative AI and machine learning solutions. The ideal candidate has a strong background in generative AI and ML engineering and feels comfortable working closely with business stakeholders to understand their needs and match them with scalable AI‑driven solutions that drive real business value. This role requires a unique blend of expert‑level technical expertise and sales acumen to identify practical AI applications, provide technical guidance, architectural oversight, and ensure the right team is engaged for successful implementation and deployment of AI products.
Responsibilities
Lead end‑to‑end tech stack assessment and architecture design for generative AI and machine learning solutions; develop detailed solution architectures for AI projects.
Serve as subject‑matter expert on AI technologies and lead hands‑on development of generative AI solutions.
Collaborate with business stakeholders to understand their business needs and demonstrate the art of the possible with AI solutions.
Evaluate and select appropriate generative AI components and strategies based on strategic and tactical objectives.
Ensure that AI solutions are designed to deliver significant business value and meet client expectations.
Collaborate closely and build deep relationships with senior technical individuals from within our company or technology partners to enable successful implementation.
Build and optimize data and AI architectures to operate at scale.
Help foster an AI‑driven culture within the organization via information sharing, engineering excellence, and operational efficiency.
Stay updated with the latest trends and best practices in generative AI engineering and technologies.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
Typically minimum 8 years of relevant experience.
Four‑year college degree and 6 or more years, and/or a high school diploma with 8 or more years of professional experience with full life‑cycle design and development.
Experience using Lucid (or a similar diagramming suite) for architectural diagrams and collaboration.
Experience building architectural design using Lucid.
Preferred Qualifications
Master’s degree in Computer Science or Information Systems.
Desired Skills and Capabilities
Expert level understanding of large language models, computer vision, recommender systems, machine learning, and advanced RAG systems.
5+ years of experience demonstrating an established track record in generative AI and machine learning.
Proficiency in designing and implementing scalable systems.
Proven track record in architecting and deploying intelligent systems in production, from strategy to execution.
Strong proficiency in deep learning frameworks such as PyTorch and TensorFlow.
Experience in agentic AI implementations using frameworks like AutoGen, CrewAI, LangChain, along with LLMs, SLMs, and LGMs.
Cloud platform experience: AWS, GCP.
Understanding of containerization technologies: Kubernetes, Docker.
Passionate about solving complex problems and excellent analytical skills.
Strong familiarity with embeddings, retrieval algorithms, strategies for model training and fine‑tuning, neural networks, deep learning, and data modeling for vector databases.
Ability to translate technical AI concepts into clear, business‑focused insights.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Financial Services and IT Services and IT Consulting
#J-18808-Ljbffr