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Tier-1 brand, popular AI title, and metro location create high applicant competition.
Core AI/ML and LLM skills are transferable, though payments domain experience is beneficial.
Extensive GenAI, LLM, cloud, and MLOps requirements imply strict technical filtering.
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Design, develop, and deploy scalable AI solutions including LLM applications, Agentic AI systems, and RAG pipelines to improve operational efficiency and drive business outcomes.
Build backend services, APIs, and orchestration frameworks to operationalize enterprise-grade AI and Generative AI solutions ensuring scalability, security, and governance.
Collaborate with global stakeholders to identify AI opportunities, establish engineering best practices, and promote adoption of AI-enabled decision-making in the Global Pricing & Interchange organization.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Engineering, Data Science, or related field.
Experience developing and deploying AI, Generative AI, or machine learning solutions in production environments, including building LLM applications and Agentic AI systems.
Experience with GenAI frameworks (OpenAI, Azure OpenAI, Hugging Face), prompt engineering, and AI architecture design.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical expertise with Python, APIs, microservices, cloud platforms (Azure, AWS), and large-scale data processing technologies (Spark, Databricks).
Familiarity with MLOps, LLMOps, CI/CD pipelines, Responsible AI practices including bias monitoring and AI safety guardrails.
Experience working in technology-driven environments related to financial services, fintech, or payments is highly desirable.