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Tier-1 brand, metro location, and broad AI skillset create high applicant competition.
Core AI/ML skills are transferable but fintech/payments domain preference moderately increases fit sensitivity.
Extensive mandatory GenAI, MLOps, cloud, and deployment skills create strict technical filtering despite no years stated.
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Design, develop, and deploy enterprise-grade AI and Generative AI solutions including LLM applications, Agentic AI systems, and RAG frameworks to solve complex business problems and enhance operational efficiency within Global Pricing & Interchange.
Build scalable backend services and AI pipelines, implement MLOps/LLMOps practices to support deployment, monitoring, and lifecycle management of AI solutions.
Collaborate with business and technology stakeholders to identify AI opportunities, ensure security, governance, responsible AI compliance, and drive adoption of AI-powered decision-making.
Bachelor's or Master's degree in Computer Science, AI, ML, Engineering, Data Science, or related technical field.
Work Experience Required: Experience in designing, developing, and deploying AI, Generative AI, or ML solutions in production environments including LLM, Agentic AI, and RAG architectures.
Strong Python programming with API/microservices development, experience with SQL, large-scale data processing (Spark), and cloud platforms such as Azure, AWS, or Databricks.
Knowledge and implementation of Responsible AI practices including bias monitoring, explainability, governance, security, and compliance standards.
Experienced in building and operationalizing large-scale AI architectures using modern GenAI frameworks and cloud-native AI/ML data platforms.
Comfortable working across technical and business teams to translate complex AI technologies into scalable business solutions within regulated environments, especially in fintech or payments.
Expertise in implementing AI governance frameworks and responsible AI, ensuring safe, explainable, and compliant AI deployments aligned with strategic revenue and operational goals.