Current PhD, AI Engineering Internship Program - Summer 2027
AI System Development
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $192,000. Most postings never say.
- Nobody had applied when this was listed — you would be near the front of the queue.
- Posted in the last 24 hours.
- The same role is open in 2 locations.
The gist
This PhD-level AI Engineering internship at Capital One focuses on building agentic AI systems that power customer experiences. You'll work on multimodal search, autonomous workflows, and scalable infrastructure, using tools like AWS and PyTorch. Ideal for PhD candidates with strong technical skills and a passion for advancing AI in banking.
What you would actually do
- Build agentic AI systems for customer experiences using AWS, PyTorch, and cutting-edge frameworks
- Collaborate with scientists, PMs, and engineers on AI-native products impacting millions of users
- Design and optimize AI infrastructure, including guardrails and inference pipelines
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.