Senior VP, Python & GenAI Platform Engineering

Citi

Rutherford (NJ)

On-site

USD 176,720 - 265,080

Full time

14 days+

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Benefits offered by this job

Medical, dental & vision coverage
401(k)
Paid time off packages
Wellness programs

Job summary

Citi is seeking an experienced Senior Vice President – Senior Lead, Python Engineering and Generative AI Platforms to lead their Retail and Wealth Risk Engineering organization in Rutherford, New Jersey. This senior leadership role involves defining AI strategies and delivering enterprise-scale solutions while managing teams of engineers, including AI-assisted developers.

The ideal candidate will have significant experience in enterprise application development and data engineering, along with strong leadership skills in regulated environments.

Qualifications

  • 12+ years of experience in enterprise application or data engineering.
  • 8+ years of experience leading multi-team Agile organizations.
  • Hands-on experience with AI-assisted development tools.
  • Strong experience with microservices and cloud-native environments.

Responsibilities

  • Lead multiple agile scrum teams of engineers.
  • Define and execute the enterprise strategy for Python engineering.
  • Serve as the senior architect for AI agent platforms.
  • Drive adoption of AI Product Development Lifecycle.

Skills

Python
PySpark
Databricks
AI-assisted development
Microservices architecture
Event-driven architecture
Cloud platforms (AWS, Azure, GCP)
Frontend technologies (React/Angular)

Education

Bachelor’s degree or equivalent experience
Master’s degree

Tools

Devin.AI
GitHub Copilot
Docker
Kubernetes
Kafka

Job description

Citi is seeking an experienced Senior Vice President – Senior Lead, Python Engineering and Generative AI Platforms to lead their Retail and Wealth Risk Engineering organization in Rutherford, New Jersey. This senior leadership role involves defining AI strategies and delivering enterprise-scale solutions while managing teams of engineers, including AI-assisted developers.

The ideal candidate will have significant experience in enterprise application development and data engineering, along with strong leadership skills in regulated environments.

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