Senior AI Engineer - Vice President - Citi

Key Responsibilities

• Architect, design, and implement AI agents and end‑to‑end machine learning pipelines for enterprise applications.
• Guide cross‑functional teams in model selection, training, evaluation, and production deployment.
• Integrate AI solutions with cloud platforms (AWS) and container orchestration tools to ensure scalability and reliability.
• Establish best practices for data preprocessing, feature engineering, and model monitoring.
• Mentor junior engineers and promote knowledge sharing across the technology organization.

Requirements

• 7+ years of professional experience in AI/ML development, with a strong focus on Python and modern ML frameworks.
• Proven expertise in deep learning architectures (e.g., Transformers, CNNs) and natural language processing techniques.
• Hands‑on experience deploying models on AWS services such as SageMaker, Lambda, or ECS/EKS.
• Solid understanding of software engineering principles, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Excellent problem‑solving skills and ability to lead technical initiatives in a fast‑paced environment.