VP, Generative AI Engineering - Lead Innovator

Citigroup

Irving (TX)

On-site

USD 126,000 - 189,000

Full time

5 days ago
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Job summary

Citigroup in Irving, TX seeks a Senior Generative AI/AI Engineer to drive AI strategy from concept to production. The role focuses on designing scalable AI solutions, prototyping Generative and Agentic AI, and leading cross-functional efforts with strong Python and ML/DL expertise.

Responsibilities include building production-ready AI systems, managing data pipelines, and applying MLOps best practices in containerized environments such as OpenShift or Kubernetes.

Qualifications

  • 6+ years of relevant experience.
  • Proficient in Python and AI libraries (NumPy, pandas, scikit-learn).
  • Hands-on experience with Generative AI, LLMs, and agentic AI frameworks.
  • Skilled in handling large datasets, feature engineering, and data validation.
  • Familiar with MLOps concepts, Docker, and containerized deployments on OpenShift or Kubernetes.

Responsibilities

  • Accountability: drive results on large-scale AI efforts and lead projects.
  • Develop & Prototype: design and iterate on Generative and Agentic AI applications.
  • Implement AI Models: train and fine-tune ML/DL models for business needs.
  • Build Robust Systems: produce production-ready AI/ML code with quality checks.
  • Manage Data Pipelines: build robust data preprocessing pipelines.

Skills

Python Proficiency
ML/DL Fundamentals
Generative AI Experience
Data Handling
MLOps Practices
Problem-Solving

Education

Bachelor's in Engineering

Tools

Docker
OpenShift
Kubernetes
LangChain
Hugging Face

Job description

Citigroup in Irving, TX seeks a Senior Generative AI/AI Engineer to drive AI strategy from concept to production. The role focuses on designing scalable AI solutions, prototyping Generative and Agentic AI, and leading cross-functional efforts with strong Python and ML/DL expertise.

Responsibilities include building production-ready AI systems, managing data pipelines, and applying MLOps best practices in containerized environments such as OpenShift or Kubernetes.

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