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Tier-1 brand, metro location, and a popular mid-level AI title increase applicant competition.
Core AI/LLM skills are transferable, but fintech/payments domain experience is preferred.
Extensive mandatory LLM, MLOps, cloud, and production-deployment skills indicate high selection rigor.
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Design, develop, and deploy enterprise-grade AI, Generative AI, and Agentic AI solutions including LLM applications and RAG frameworks to improve business decision-making and operational efficiency.
Build scalable backend services and cloud-native AI/ML pipelines with MLOps/LLMOps for production deployment and lifecycle management.
Collaborate with global business, product, and technology teams to identify AI opportunities, ensure governance and compliance, and drive enterprise AI adoption.
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 solutions in production, including LLM applications and Agentic AI systems.
Proficiency with Python, AI frameworks (OpenAI, Hugging Face, LangChain), cloud platforms (Azure, AWS), and data technologies (SQL, Spark).
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in Generative AI ecosystems, AI architectures (LLM, RAG, agent orchestration), and implementing Responsible AI practices (bias monitoring, explainability).
Experienced in building scalable, production-ready AI services with MLOps/LLMOps and cloud integration across complex technology environments.
Comfortable working cross-functionally with business and technical stakeholders in a global environment focused on financial services or fintech domain.