VP, Generative AI Engineering - Lead Scalable AI Solutions

Citi

Irving (TX)

On-site

USD 126,000 - 189,000

Full time

6 days ago
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Job summary

Citi in Irving, TX is seeking a Senior Generative AI/AI Engineer to lead and deliver scalable AI solutions from concept to production. You will prototype AI apps, train models, and implement robust data pipelines while collaborating with stakeholders to steer technical direction.

Strong Python, ML/DL, and MLOps experience are essential. Join a fast-moving team focused on cutting-edge GenAI and Agentic AI work, leveraging OpenShift, Docker, and modern AI frameworks to drive impact across the

Qualifications

  • Atleast 6+ years of relevant experience.
  • Strong Python proficiency with AI libraries.
  • Solid ML/DL understanding and practical implementation.
  • Hands-on Generative AI, LLMs, and Agentic AI frameworks.
  • Data handling, cleaning, feature engineering, validation.
  • Familiar with MLOps, containers (Docker) and deployment platforms.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Execute and drive results on large-scale AI efforts and lead medium/large AI projects.
  • Design, build, and prototype Generative/Agentic AI applications quickly.
  • Train, fine-tune, and deploy ML/DL models to solve business problems.
  • Develop scalable, production-ready AI/ML code.
  • Engineer and manage data pipelines for training and inference.
  • Deploy AI apps with MLOps in Docker/OpenShift/Kubernetes environments.
  • Research latest AI trends and lead POC initiatives.
  • Collaborate with senior engineers, architects, and product managers.

Skills

Python
Generative AI
ML/DL fundamentals
Data preprocessing
MLOps
Problem solving

Education

Bachelor's in Engineering

Tools

Docker
OpenShift/Kubernetes
PyTorch
TensorFlow

Job description

Citi in Irving, TX is seeking a Senior Generative AI/AI Engineer to lead and deliver scalable AI solutions from concept to production. You will prototype AI apps, train models, and implement robust data pipelines while collaborating with stakeholders to steer technical direction.

Strong Python, ML/DL, and MLOps experience are essential. Join a fast-moving team focused on cutting-edge GenAI and Agentic AI work, leveraging OpenShift, Docker, and modern AI frameworks to drive impact across the

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