Citi Group Artificial Intelligence & Gen AI Tech Lead – Hybrid 

United States, New Jersey, Jersey City 

598091961

Key Responsibilities:

• Hands-On Execution and Delivery:Lead by example and actively contribute to the Design, Development and Delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
• Quality Control:Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
• Research and Development:Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques. 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.
• Leadership: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.
• Cross-Functional Collaboration:Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
• 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.
• Strategy Implementation:Support execution of the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives

Engineering Excellence & Best Practices:

• Drive the adoption of modern engineering ways of working, including Agile, DevOps, and CI/CD.
• Advocate for automated testing, infrastructure as code, and continuous monitoring to enhance software reliability.
• Apply Behavior-Driven Development (BDD), Test-Driven Development (TDD), and unit testing to ensure code quality and functionality.
• Conduct thorough code reviews, ensuring adherence to best practices in readability, performance, and security.
• Implement and enforce secure coding practices, performing vulnerability assessments and ensuring compliance with security standards.
• Collaborate effectively in agile environments, embracing DevOps principles and fostering a culture of continuous delivery and improvement.

Skills & Qualifications:

• Strong hands-on experience in Machine Learning, delivering complex solutions to production.
• 6 - 8 years of relevant experience is a MUST
• Experience with Generative AI technologies essential.
• In-depth knowledge of deep learning and Generative AI frameworks such as TensorFlow, PyTorch, Langchain, LangGraph, CrewAI and similar.
• Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas.
• Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.
• Experience with evaluation, scoring with framework like ML Flow
• Experience of Docker container and edited a Docker file, experience with K8s is a plus.
• Experience with Postgres and Vector DBs a plus.
• 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.
• Bachelor’s/Master’s degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field.

Anticipated Posting Close Date:

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