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Lead AI Engineer AI Foundations, LLM Customization & Finetuning - Capital One
AI Engineer
Lead the design and deployment of responsible AI systems, focusing on large language model customization and finetuning using Python, ML, NLP, and AWS to deliver real‑time, personalized banking experiences.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines for LLM customization and finetuning, ensuring scalability and reliability on cloud platforms.
- Collaborate with data scientists and product teams to define model objectives, evaluate performance, and iterate on training data and hyperparameters.
- Establish best practices for responsible AI, including bias mitigation, explainability, and compliance with regulatory standards.
- Lead code reviews, mentor junior engineers, and promote a culture of continuous learning and experimentation.
- Monitor model health in production, troubleshoot issues, and implement automated retraining workflows.
Requirements
- 5+ years of experience in machine learning engineering, with a strong focus on large language models.
- Hands‑on experience deploying models on AWS (SageMaker, ECS, Lambda) and managing CI/CD pipelines.
- Deep understanding of responsible AI principles, bias detection, and model explainability techniques.
- Excellent communication skills and a proven ability to lead cross‑functional teams.
Skills
pythonmachine learningnlpaws