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Capital One

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

Capital One
McLean, VA $197k - $225k/yr Full time Posted 11m ago
Agentic Ai Ai Agent Ai Agent Platform Ai Engineer Artificial Intelligence Data Platform Data Science Enterprise Ai Generative AI Generative Ai Engineer Generative Ai Platform Machine Learning Engineer Machine Learning Engineering
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Job Description

Build and operate production AI systems focused on foundation model training, agentic workflows, and reliable GenAI services within Capital One’s Intelligent Foundations and Experiences (IFX) team.

Responsibilities

  • Collaborate with cross-functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers.
  • Design, develop, test, deploy, and support AI software components, including:
    • foundation model training
    • LLM inference
    • agents and multi-agent workflows
    • similarity search
    • guardrails
    • model evaluation, experimentation, governance, and observability
  • Apply a broad stack of open source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and other tools as needed.
  • Develop foundation model optimization approaches to improve production performance across scalability, cost, latency, and throughput.
  • Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
  • Own end-to-end architecture for complex AI systems with focus on:
    • maintainability
    • observability
    • ethical alignment
  • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
  • Work with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
  • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance requirements are met.
  • Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation.

Requirements

  • Education + experience:
    • Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, plus at least 4 years of experience developing AI/ML algorithms or technologies
    • or Master’s degree in the same fields, plus at least 2 years of experience developing AI/ML algorithms or technologies
  • Programming experience: at least 4 years with Python, Go, Scala, CUDA, or Java.

Technologies

  • AWS Ultraclusters
  • Huggingface
  • VectorDBs
  • PyTorch
  • Python, Go, Scala
  • CUDA, Java
  • AWS, Google Cloud, Azure
  • C++, C#, Golang
  • GPU, TPU

Team Description

  • The Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life.
  • Works with partners across the company to advance state-of-the-art science and AI engineering, and to build and deploy proprietary solutions used by teams across Capital One.
  • Enables AI models and platforms to enhance products using responsible and scalable AI for high leverage impact.

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being.

Location & Salary

  • Location: McLean, VA (onsite)
  • Salary: USD 197,300 - 225,100 per year

Incentive Compensation

  • Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).

Note: Capital One Financial is made up of several different entities. Positions posted in Canada are for Capital One Canada, positions posted in the United Kingdom are for Capital One Europe, and positions posted in the Philippines are for Capital One Philippines Service Corp. (COPSSC).

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