onsite
Senior Lead AI Engineer Generative AI Platform & Agentic AI - Capital One
AI Engineer
Lead the design and delivery of a generative AI platform, building agentic AI services and end‑to‑end pipelines using Python, LLMs, cloud (AWS), and container orchestration.
About the role
Key Responsibilities
- Architect and develop a scalable generative AI platform that supports agentic AI services and model lifecycle management.
- Design, implement, and optimize large language model pipelines, including fine‑tuning, prompt engineering, and inference serving.
- Lead a cross‑functional team in adopting MLOps best practices, leveraging CI/CD, Kubernetes, and cloud native services on AWS.
- Collaborate with product, data, and security teams to ensure responsible AI, model governance, and compliance with regulatory standards.
- Mentor engineers and researchers, fostering a culture of technical excellence and continuous learning.
Requirements
- 10+ years of software engineering experience with deep expertise in Python and AI/ML frameworks such as TensorFlow or PyTorch.
- Proven track record building and deploying large language models or generative AI solutions in production.
- Strong knowledge of cloud platforms (AWS), containerization (Docker, Kubernetes), and MLOps tooling.
- Experience with prompt engineering, retrieval‑augmented generation, and building agentic AI workflows.
- Excellent leadership, communication, and stakeholder management skills.
Skills
pythontensorflowpytorchawskubernetesmlops