Senior Generative AI Engineer - Vice President

Citi

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Irving, TX
Salary
$125,760–$188,640 / yr
Employment
Full-time
Posted
35 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $157k
$112k $256k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $160,687–$241,750 — the blue band above. At the midpoint, this role pays about $157k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 251 roles with salary data.

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At a glance

TL;DR · Senior Generative AI Engineer - Vice President

JOB TITLE: Senior Generative AI Engineer - Vice President The USCC Architecture and AI Engineering group seeks a Senior Generative AI Engineer - Vice President to drive AI strategy from conceptualization through production. You will serve as a development lead for large-scale projects, designing, building, and iterating on prototypes for Generative and Agentic AI applications. Daily responsibilities include implementing, training, and fine-tuning machine learning and deep learning models, managing sophisticated data pipelines, and deploying applications in containerized environments. You will utilize Python, FastAPI, PyTorch, and TensorFlow alongside libraries like NumPy, Pandas, and Scikit-learn. Technical expertise must include LLMs such as Gemini, GPT, and Llama, plus frameworks like LangChain, LlamaIndex, and Hugging Face. You will also implement RAG techniques using Vector DBs like Pinecone and Chroma to solve complex business problems.

What you'll do

  • Lead the development of large-scale AI projects from conceptualization through production.
  • Design, build, and iterate on prototypes for Generative and Agentic AI applications.
  • Implement, train, and fine-tune machine learning and deep learning models to solve business problems.
  • Develop and maintain clean, scalable code for production-level AI/ML systems.
  • Engineer and manage sophisticated data handling and preprocessing pipelines for training and inference.
  • Deploy and monitor AI applications in containerized environments using MLOps best practices.
  • Research emerging AI trends and lead proof-of-concept projects to integrate new technologies into the stack.

What we're looking for

  • At least 6 years of relevant experience.
  • Bachelor's degree in Engineering or equivalent work experience.
  • Proficiency in Python with deep familiarity with AI-centric libraries like NumPy, Pandas, and Scikit-learn.
  • Experience with machine learning algorithms and deep learning architectures including Transformers, CNNs, and RNNs.
  • Hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
  • Proficiency in MLOps practices, including containerization with Docker and deployment on OpenShift or Kubernetes.
  • Experience with RAG techniques using Vector DBs and tools like LangChain, LlamaIndex, and the Hugging Face ecosystem.
  • Advanced skills in prompt engineering, AI workflow design, and optimizing GenAI applications for cost and performance.

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