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GenAI Tech Lead

Citi

Tel Aviv, Tel-Aviv District, IsraelOn Site

Original Job Summary

About Citi Innovation Labs

Citi Innovation Labs is a global network of innovation centers focused on delivering cutting edge solutions across all Citi’s business lines. The mission is to create a competitive advantage through innovative technological solutions, strong client engagement and leveraging entrepreneurial spirit.

Role Overview: GenAI Tech Lead

The GenAI Tech Lead will drive the design and roadmap of generative AI platform solutions. You will lead research and implementation of high scale engineering products with a focus on advanced AI and Generative AI solutions.

Responsibilities

  • Lead design and architecture of AI infrastructure tools.
  • Drive research to develop innovative solutions for business units.
  • Manage executive stakeholders and act as trusted advisor.
  • Collaborate with internal/external partners and vendors.
  • Work with Citi’s AI Centre of Excellence to ensure best practices.

Qualifications

  • Academic degree in Computer Science or equivalent; MSc/PhD preferred.
  • 12+ years in the software industry and 3+ years as tech lead or architect.
  • 4+ years experience in Machine Learning and delivering complex production solutions.
  • Sound expertise in cloud architectures, deep learning frameworks (TensorFlow, PyTorch), and Python.
  • Excellent communication, leadership, and analytical skills.
  • Experience in financial services and Securities Services is a plus.

Key skills/competency

  • Generative AI
  • Machine Learning
  • Cloud Architecture
  • Deep Learning
  • Python
  • Innovation
  • Stakeholder Management
  • Research
  • Architecture
  • Technology Leadership

How to Get Hired at Citi

🎯 Tips for Getting Hired

  • Customize Resume: Tailor skills for AI and tech leadership.
  • Highlight Experience: Emphasize high scale production solutions.
  • Showcase Projects: Detail AI innovation and cloud projects.
  • Prepare for Interviews: Research Citi and its labs culture.

📝 Interview Preparation Advice

Technical Preparation

Review TensorFlow and PyTorch basics.
Study cloud architecture best practices.
Practice Python coding challenges.
Analyze case studies on AI platforms.

Behavioral Questions

Describe leadership in tech challenges.
How manage cross-functional teams?
Detail stakeholder conflict resolution.
Explain innovative project successes.