Gen AI Engineering and Scaled AI Transformation

Citigroup

Mississauga, Ontario, Canada
Base: $145,100.00 - $217,700.00; bonus/equity: not...
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Large language model strategy and deployment
Langchain langgraph llamaindex hugging face
Retrieval augmented generation rag architectures
** Citigroup is seeking a senior technical authority for Generative AI Engineering and Scaled AI Transformation focused on Source to Pay technology. The role requires extensive experience in deploying large language models and leading development teams, while offering a hybrid work environment and competitive benefits. **

Job Summary

  • This role serves as a senior technical authority leading the strategy and deployment of Large Language Models within Citi's Source to Pay technology group.
  • The position requires hands-on leadership in building production-grade GenAI applications using agentic workflows and robust RAG architectures grounded in enterprise data.
  • Candidates will operate as a hands-on SVP, bridging strategic influence with deep technical execution to drive scalable AI adoption across the organization.

Matching Summary

Match Score: 75

** Citigroup is seeking a senior technical authority for Generative AI Engineering and Scaled AI Transformation focused on Source to Pay technology. The role requires extensive experience in deploying large language models and leading development teams, while offering a hybrid work environment and competitive benefits. **

Salary

Base: $145,100.00 - $217,700.00; Bonus/Equity: Not specified; Benefits: Global benefits including well-being and growth support

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 frameworks and governance

Nice-to-have

  • PyTorch TensorFlow for embeddings and training
  • Experience with commercial open-source LLM ecosystems
  • Leadership in agile fast-moving environments
  • Strong grounding in ML DL fundamentals
  • Ability to communicate complex concepts to executives

Key Requirements

  • 10+ years software engineering ML or AI platforms experience
  • 5+ years leading senior engineers and architects
  • 3+ years deploying LLM-based systems in production at enterprise scale
  • Bachelor's degree required Master's preferred
  • Demonstrated authority across commercial and open-source LLM ecosystems

Work Rights

Not specified

Tailored Resume

Cover Letter