Capital One
Financial Services
LeadAIEngineer(FMHosting,LLMInference)
“Lead AI Engineer (FM Hosting, LLM Inference) at Capital One. Skills: AI Engineering, LLM Inference, Foundation models, AI infrastructure. Partner with cross-functional team. Deliver AI-powered products”
Industry & Context.
Root cause analysis; Digging deep; Uncovering root problems
What They're Looking For.
Must Have
4 years developing AI/ML algorithms, 2 years developing AI/ML algorithms, 4 years programming Python, Go, Scala, or Java
Nice to Have
6 years deploying AI solutions on cloud, Experience developing AI/ML algorithms, Experience optimizing training and inference software
What You'll Do.
Partner with cross-functional team
Deliver AI-powered products
Design AI software components
Develop AI software components
Test AI software components
Deploy AI software components
Support AI software components
Train foundation models
Perform LLM inference
Implement similarity search
Experiment with models
Leverage Open Source AI technologies
Leverage SaaS AI technologies
Invent LLM optimization techniques
Introduce LLM optimization techniques
Improve performance of AI systems
Contribute to technical vision
Contribute to roadmap of AI systems
How You'll Work.
Team & Collaboration
Cross-functional team; Engineers; Research scientists; Technical program managers; Product managers
Communication Scope
Articulate findings concisely
Process & Methodology
Technical program management
Applying for this Lead AI Engineer (FM Hosting, LLM Inference) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Capital One?
Real rants from real employees. Read before you apply.