Lead AI Engineer Generative AI Platform Services - Capital One

Key Responsibilities

• Architect and develop a scalable generative AI platform that supports model training, inference, and monitoring across the organization.
• Lead a cross‑functional team of data scientists, engineers, and product owners to deliver end‑to‑end AI solutions that meet security, compliance, and reliability standards.
• Design and implement MLOps pipelines using CI/CD, container orchestration (Kubernetes), and cloud services (AWS) to automate model lifecycle management.
• Evaluate, fine‑tune, and integrate large language models (LLMs) and other generative AI techniques for customer‑facing and internal use cases.
• Establish best practices for responsible AI, including bias mitigation, explainability, and governance.

Requirements

• 5+ years of hands‑on experience building production‑grade AI/ML systems, with deep expertise in Python and frameworks such as TensorFlow or PyTorch.
• Proven experience designing and operating cloud‑native AI platforms on AWS, including services like SageMaker, EKS, and serverless compute.
• Strong background in MLOps, containerization (Docker), and orchestration (Kubernetes) to manage model deployment and scaling.
• Demonstrated ability to work with large language models, prompt engineering, and generative AI techniques.
• Excellent problem‑solving skills, collaborative mindset, and a commitment to responsible AI practices.