Total System Services
OVERVIEW
The AI Solutions Architect is a hands‑on professional experienced in building scalable GenerativeAI and Machine Learning solutions. The ideal candidate has a strong background in GenerativeAI 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 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 the successful implementation of AI projects.
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.
What Are We Looking For in This Role? Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
Typically Minimum 8 Years Relevant Exp.
Four‑year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development.
Lucid (for architectural diagrams and collaboration) or Diagraming suite of some sort.
Building the architectural design using Lucid.
Preferred Qualifications
Master's Degree.
Computer Science or Information Systems.
What Are Our 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, TensorFlow.
Experience in agentic AI implementations, using frameworks like AutoGen, CrewAI and Langchain, along with SLMs, LLMs and LGMs.
Cloud platform experience: AWS, GCP.
Understanding of containerization technologies: K8, Docker.
Passionate about solving complex problems and excellent analytical skills.
Strong familiarity with embeddings, retrieval algorithms, strategies for model training and finetuning, neural networks, deep learning, agentic frameworks 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. 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 jobs@globalpay.com.
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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 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 the successful implementation of AI projects.
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.
What Are We Looking For in This Role? Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
Typically Minimum 8 Years Relevant Exp.
Four‑year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development.
Lucid (for architectural diagrams and collaboration) or Diagraming suite of some sort.
Building the architectural design using Lucid.
Preferred Qualifications
Master's Degree.
Computer Science or Information Systems.
What Are Our 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, TensorFlow.
Experience in agentic AI implementations, using frameworks like AutoGen, CrewAI and Langchain, along with SLMs, LLMs and LGMs.
Cloud platform experience: AWS, GCP.
Understanding of containerization technologies: K8, Docker.
Passionate about solving complex problems and excellent analytical skills.
Strong familiarity with embeddings, retrieval algorithms, strategies for model training and finetuning, neural networks, deep learning, agentic frameworks 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. 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 jobs@globalpay.com.
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