AI Solutions Architect

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 1,300 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 best‑in‑class payment technology and software solutions.

Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

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

AI Solutions Architect (Exempt)

Enterprise AI/ML Organization

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.

• 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, 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.
• 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.

• 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 a diagramming suite of some sort.
• Building the architectural design using Lucid.

• Master's Degree.
• Computer Science or Information Systems.

• 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, Tensor Flow.
• Experience in agentic AI implementations, using frameworks like Auto Gen, 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 fine tuning, neural networks,…