Senior Lead Ai Engineer,(mlx, Agentic Ai, Gen Ai Platform Services)
Capital One
McLean, VA, USA
Mclean, va: $229,900 - $262,400; new york, ny: $25...
Agentic ai
Gen ai platform services
Foundation model training
We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure
Job Summary
We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
In this role, you will partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Matching Summary
We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
Salary
McLean, VA: $229,900 - $262,400; New York, NY: $250,800 - $286,200; San Francisco, CA: $250,800 - $286,200; San Jose, CA: $250,800 - $286,200; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
Agentic AI
Gen AI Platform Services
foundation model training
large language model inference
similarity search
guardrails
model evaluation
governance
observability
Nice-to-have
transformative power of emerging AI
humanity and simplicity to banking
resilient trail blazer
clarity to big, undefined problems
courage to share new ideas
Key Requirements
Bachelor's degree + 6 years AI/ML experience
Master's degree + 4 years AI/ML experience
6 years programming with Python, Go, Scala, or Java
7 years deploying AI on cloud platforms
Experience leading and mentoring engineering teams