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Tier-1 brand, metro location, and visible AI role attract many qualified applicants.
AI/ML skills transfer broadly, but payments, pricing, and domain expertise increase fit sensitivity.
Extensive mandatory GenAI, cloud, MLOps, and production experience implies strict technical filtering.
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Design, develop, and deploy enterprise-grade AI, Generative AI, and Agentic AI solutions to solve complex business problems within the Global Pricing & Interchange team.
Build and operationalize Large Language Model applications, Retrieval-Augmented Generation frameworks, and intelligent AI agents from prototype through production, ensuring scalability and compliance.
Collaborate with global business and technology stakeholders to identify AI opportunities, implement responsible AI controls, and drive the adoption of AI-powered decision-making technologies.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Engineering, Data Science, or related technical field.
Experience designing, developing, and deploying AI, Generative AI, or machine learning solutions in production environments, including LLM applications and RAG architectures.
Strong programming skills in Python and experience with cloud platforms such as Azure, AWS, or Databricks, including AI/ML pipeline development and MLOps/LLMOps practices.
Work Experience Required: Not explicitly mentioned in the JD.
Deep expertise with Generative AI ecosystems and frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain) and experience with prompt engineering, semantic search, and AI agent orchestration.
Background in building scalable backend services and API layers to operationalize AI solutions in cloud-native environments involving large-scale data processing.
Experience with Responsible AI implementations including bias monitoring, hallucination mitigation, explainability, and AI risk management, preferably in fintech, payments, or analytics contexts.