onsite
Lead AI Engineer GenAI Platform, AI Foundations, LLM Core and Agentic AI - Capital One
AI Engineer
Lead the design and deployment of enterprise‑grade generative AI and LLM solutions, driving responsible AI practices and scalable infrastructure on AWS and Kubernetes.
About the role
Key Responsibilities
- Architect and implement end‑to‑end GenAI pipelines, from data ingestion to model serving, ensuring high availability and performance on AWS.
- Lead cross‑functional teams in developing LLM core components, including tokenization, fine‑tuning, and prompt engineering.
- Establish responsible AI frameworks, incorporating bias mitigation, explainability, and compliance with regulatory standards.
- Drive continuous integration and continuous delivery (CI/CD) for AI models, leveraging Kubernetes and container orchestration.
- Mentor and grow a high‑performing AI engineering team, fostering a culture of experimentation and rapid iteration.
Requirements
- 10+ years of software engineering experience with a strong focus on machine learning and AI.
- Proficiency in Python, PyTorch/TensorFlow, and experience with large language models.
- Deep knowledge of AWS services (SageMaker, ECS/EKS, Lambda) and Kubernetes for model deployment.
- Hands‑on experience with CI/CD pipelines, GitOps, and automated testing for ML workflows.
- Excellent communication skills and a proven track record of leading technical teams in a fast‑paced environment.
Skills
pythonmachine learninggenerative aiawskubernetescicd