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Citi Handlowy is seeking a senior technical authority for Generative AI Engineering and Scaled AI Transformation within its Source to Pay technology group. The ideal candidate will have extensive experience in deploying large language models, hands-on engineering expertise, and a strong understanding of AI governance and operational excellence.
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Job Summary
This role serves as a senior technical authority on Large Language Models, leading model selection and deployment strategies across commercial and open-source ecosystems.
The position requires hands-on leadership in building GenAI applications using LangChain, LangGraph, and LlamaIndex to architect agentic workflows at enterprise scale.
Candidates must establish robust RAG architectures that ground AI outputs in trusted data while ensuring compliance with regulatory and audit requirements.
Matching Summary
Match Score: 75
**
Citi Handlowy is seeking a senior technical authority for Generative AI Engineering and Scaled AI Transformation within its Source to Pay technology group. The ideal candidate will have extensive experience in deploying large language models, hands-on engineering expertise, and a strong understanding of AI governance and operational excellence.
**
Salary
Base: $145,100.00 - $217,700.00; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Large Language Model strategy and deployment
LangChain LangGraph LlamaIndex Hugging Face
Retrieval Augmented Generation RAG architectures
Vector databases pgvector Pinecone Weaviate FAISS
Python FastAPI async programming patterns
Docker cloud-native architectures API security
AI safety evaluation governance frameworks
Nice-to-have
PyTorch TensorFlow for embeddings training
Enterprise-grade reliability and explainability
Leadership of senior engineers and architects
Cross-functional collaboration with Risk Compliance
Agile fast-moving delivery environments
Key Requirements
10+ years software engineering ML or AI platform experience
5+ years leading senior engineers and architects
3+ years deploying LLM-based systems in production