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Gen AI Tech Lead - SVP

Citi
Georgia Telecommuter, United States, United StatesRemotefull_timeVerifiedPosted 23 Apr 2025
💰 $237,600/yr($158,400/yr$237,600/yr)

About the role

About Citi:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

 

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services

 

Citi’s Functions Technology is responsible for delivering Technology solutions to Citi's Functions organizations.  Functions Technology mission is to optimize Citi's Technology environment by delivering world class applications, driving standardization of the production environment, reducing complexity, optimizing management of systems supporting global functions such as Compliance, Controls, Internal Audit and Risk, and introducing innovative technologies that provide new business capabilities, reduce the technology total cost of ownership, and create a competitive advantage for Citi.

 

Job Overview:

We are seeking a dynamic and innovative Gen AI Lead to spearhead the development and integration of Generative AI capabilities across our enterprise-wide Controls Technology platform. As the Gen AI Lead, you will be responsible for building, implementing, and optimizing AI-driven solutions to enhance operational efficiencies, automate decision-making, and drive strategic insights. This role requires both hands-on expertise in AI/ML and leadership skills to build and lead a high-performing AI team.

 

Key Responsibilities:

  • Lead Generative AI Strategy: Define and implement a comprehensive AI strategy aligned with enterprise-wide goals, focusing on innovation in the Controls Technology domain.

  • Build & Lead a High-Performing Team: Hire, mentor, and manage a team of AI specialists, ensuring the acquisition and retention of top talent in the AI/ML space.

  • Drive AI Innovation: Collaborate with internal stakeholders to identify business challenges that can be solved through AI, creating scalable solutions using Generative AI technologies.

  • AI System Development: Oversee the design, development, and deployment of AI models and algorithms, ensuring solutions are robust, efficient, and scalable.

  • Cross-functional Collaboration: Work closely with the Data Mesh, Cloud Architecture, and broader tech teams to integrate AI models into existing and future architectures.

  • Stay Current on AI Trends: Continuously monitor the latest AI trends and technologies to ensure the organization remains at the cutting edge of Gen AI innovations.

  • Ensure Ethical AI Use: Ensure all AI initiatives comply with data privacy, ethical AI standards, and corporate governance policies.

 

Required Technical Skills:

  • Large Language Models (LLMs) & Fine-Tuning: Deep knowledge of LLMs and advanced fine-tuning techniques and proficient in Parameter-Efficient Fine-Tuning (PEFT) methods, including LoRA, QLoRA, Adapter Tuning, and Prefix Tuning. Experience with full fine-tuning, instruction tuning strategies, and cutting-edge agentic AI techniques such as Reinforcement Learning from Human Feedback (RLHF) and multi-task learning is essential.

  • Model Optimization: Expertise in model compression and quantization methods and be skilled in techniq

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Company

Citi

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