About the Role
The Citi Innovation Lab is a leader in creating new ideas, innovative technology solutions, and ground-breaking innovations for Citi's global banking business. We're part of a global network of innovation centers, and our mission is to create competitive advantage for our clients by providing innovative technological solutions. Working closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.
Our Labs Network spans across cities like New York, Dublin, London, Tel Aviv, Singapore, and Shanghai. Our focus is on delivering cutting-edge products that use the latest technologies, even in highly complex setups, all while maintaining the highest delivery standards. Our Innovation Labs team works on research and implementation across various advanced domains, including AI, machine learning, NLP, analytics, blockchain, and more.
We are seeking a highly skilled and experienced Vice President to play a critical role in leading the development and delivery of Generative AI solutions at the Citi Innovation Lab. In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing generative AI and Large Language Models. Reporting to the Senior Vice President, you will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.
Key Responsibilities
- Hands-On Leadership: Lead by example and actively contribute to the development and delivery of generative AI solutions, driving innovation and excellence within the team.
- Monitoring Ongoing Research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.
- Model Delivery to Production: Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
- Strategy Implementation: Execute the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives.
- Research and Development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques, including GANs, VAEs, and other relevant technologies.
- Cross-Functional Collaboration: Ability to collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
- Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
- Stakeholder Engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and Large Language Models, identifying opportunities for innovation and value creation.
- Regulatory Compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.
Qualifications
- Master's, Ph.D. or equivalent experience in a relevant field (Computer Science, Machine Learning, etc.).
- 4 years+ experience in Machine Learning, delivering complex solutions to production.
- Proven hands-on experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
- Strong proven delivery track record.
- In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar.
- Proficiency in programming languages such as Python.
- Excellent problem-solving skills and the ability to think creatively.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Publications and contributions to the AI research community are a plus.
- Experience in high tech or financial industry is beneficial but not mandatory.