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Design and implement Generative AI applications, utilizing LangChain, vector databases, and advanced validation methodologies for LLMs; lead architectural implementation for enterprise-scale solutions; mentor cross-functional teams on best practices and platform knowledge
Job Responsibility:
design, prototype, and implement Generative AI applications, ensuring robust, scalable, and secure solutions
drive practical implementation and advanced utilization of LangChain (or similar orchestration frameworks) for building complex LLM applications
architect, select, and manage vector databases for efficient similarity search, RAG (Retrieval Augmented Generation), and knowledge management
establish and implement rigorous methodologies for validation, testing, and evaluation of LLMs
develop automated pipelines for tracking and reporting LLM performance
demonstrate deep practical knowledge of LLM platforms and versions
lead implementation of end-to-end architectures for Generative AI use cases
provide expert-level guidance on Generative AI best practices
work with cross-functional teams in practical application of LangChain, vector databases, and LLM evaluation
Requirements:
12 - 14 years of relevant experience in the Financial Service industry
experience as Applications Development Lead/manager
competent in Gen AI skills
expertise in prompt engineering / Open AI / Vertex models
stakeholder and people management experience
demonstrated leadership skills
proven project management skills
basic knowledge of industry practices and standards
consistently demonstrates clear and concise written and verbal communication
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