Genai Application Development Senior Group Manager Director

Citi Handlowy

New York, New York, United States
$170,000.00 - $300,000.00; bonus/equity: discretio...
Generative ai adoption
Large language models (llms)
Agentic flows
Drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions

Job Summary

  • Drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions.
  • Contribute significantly to both engineering and research initiatives within the Generative AI domain, adopting a product-focused approach to develop robust, scalable, and user-friendly solutions.
  • Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems, actively engaging in pair programming and promoting lean methodologies.

Matching Summary

Drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions.

Salary

$170,000.00 - $300,000.00; Bonus/Equity: Discretionary and formulaic incentive and retention awards; Benefits: Medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off

Skills & Requirements

Must-have

  • Generative AI adoption
  • Large Language Models (LLMs)
  • agentic flows
  • enterprise solutions engineering
  • Python and Java fluency
  • cloud platforms (AWS, GCP, Azure)
  • AI Agent workflows

Nice-to-have

  • product-focused approach
  • pair programming
  • lean methodologies
  • rapid delivery
  • iterative development
  • proactive learning mindset
  • adaptable and resourceful

Key Requirements

  • 15+ years professional experience in financial services
  • Bachelor’s degree in Computer Science, Information Technology or Engineering
  • Master's degree preferred
  • Team building and people management skills

Work Rights

Not specified

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