AI Solutions Architect
Global Payments Inc.
full-time
Posted on:
Location Type: Remote
Location: Oklahoma • Texas • United States
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About the role
- Lead end-to-end tech stack assessment and architecture design for Generative AI and Machine Learning solutions.
- Develop detailed solution architectures for AI projects.
- Serves as subject matter expert on AI technologies, hands-on development of GenerativeAI solutions.
- Collaborate with business stakeholders to understand their business needs and demonstrate the art of the possible with AI solutions.
- Evaluate and select appropriate GenerativeAI 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 GenerativeAI engineering and technologies.
Requirements
- 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
- 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.
Benefits
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AIMachine LearningLarge Language ModelsComputer VisionRecommender systemsDeep learning frameworksPyTorchTensorFlowContainerization technologiesData modeling
Soft Skills
Analytical skillsProblem-solvingCollaborationRelationship buildingCommunicationBusiness-focused insightsEngineering excellenceOperational efficiencyInformation sharingAI-driven culture
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringRelated field degree