Senior GenAI Platform Lead - Python Systems

Citigroup

Jersey City (NJ)

Presencial

USD 142.000 - 213.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Comprehensive benefits
Performance incentives

Descripción de la vacante

Citi is hiring for a senior role in Jersey City, NJ, focused on designing, building, and maintaining complex Python GenAI platforms and services. You will partner with data science, technical, and business teams to define architecture for critical GenAI use-cases and drive deployment with strong Python implementations.

Ideal candidates have extensive Python expertise, cloud experience, and a track record delivering enterprise-grade GenAI systems.

Formación

  • 6+ years of experience in the software industry.
  • 6+ years of experience building enterprise software.
  • 5+ years delivering complex Python-based solutions into production.
  • Experience with Generative AI systems and cloud architectures.
  • Strong communication and leadership skills.
  • Experience with agile development, CI/CD, testing, and code reviews.

Responsabilidades

  • Lead design, development, and maintenance of Python GenAI platforms and services.
  • Engage with stakeholders to define architecture for key use-cases.
  • Drive deployment of GenAI products and process improvements.
  • Resolve high-impact technical and business problems with Python-driven solutions.
  • Provide expert guidance in Python and GenAI best practices.
  • Coach mid-level developers and analysts in Python/GenAI.

Conocimientos

Python
GenAI
Software architecture
Cloud architectures
CI/CD
Leadership
Communication
Problem solving

Educación

Bachelor's degree

Herramientas

FastAPI
Flask
Django
Pandas
NumPy
Prefect
Scikit-learn
Hugging Face

Descripción del empleo

Citi is hiring for a senior role in Jersey City, NJ, focused on designing, building, and maintaining complex Python GenAI platforms and services. You will partner with data science, technical, and business teams to define architecture for critical GenAI use-cases and drive deployment with strong Python implementations.

Ideal candidates have extensive Python expertise, cloud experience, and a track record delivering enterprise-grade GenAI systems.

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