AI Engineering Internship

Capital One

AI Engineering Intern building agentic AI applications and scalable infrastructure for Capital One’s banking customers. Prototyping multimodal search, autonomous workflows, and GenAI platform capabilities.

Posted 9/8/2026internshipNew York City • California, New York, Virginia • 🇺🇸 United StatesEntry Level💰 $147,000 - $161,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing AI systems, including multimodal search and intelligent document processing, while leveraging cloud platforms like AWS for deployment. Proficient in programming languages such as Python and Java, with a strong foundation in AI/ML algorithms and frameworks.

Highest-signal resume keywords

AI System DevelopmentPython ProgrammingAWS DeploymentAI/ML Optimization TechniquesAgentic Frameworks Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AlgorithmsMachine LearningMultimodal SearchReinforcement LearningInference OptimizationNLPComputer VisionDistributed GPU FrameworksFine-Tuning PipelinesPre-Training Pipelines

Tools & Technologies

AWS UltraclustersPyTorchLangChainLangGraphLlamaIndexAutogenMCP/A2AFrontier-Labs Agent SDKs

Industry Keywords

AI-Native ProductsAgentic WorkflowsCloud PlatformsMicroservice EnvironmentsAI Infrastructure

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaPythonPyTorchScala

About the role

Key responsibilities & impact

Partner with research scientists, product managers, and engineers to prototype and ship AI-native products reaching millions of customers
Research, prototype, and productionalize AI systems including multimodal search, intelligent document processing, and autonomous agentic workflows
Design and optimize AI infrastructure, including fine-tuning and pre-training pipelines, reinforcement learning, inference optimization, guardrails, and evaluation frameworks
Use AWS Ultraclusters, PyTorch, and agentic frameworks to develop AI capabilities
Architect agentic workflows that autonomously navigate tools, orchestrate multi-step reasoning, and integrate with complex microservice environments
Build Agentic AI applications and platform capabilities for customer-facing GenAI workflows and internal coding tools

Requirements

What you’ll need

Currently pursuing a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with the required degree expected by August 2028 or earlier
Must continue in the same course of study after the internship period
At least 6 months of experience or academic work developing AI and ML algorithms or technologies
At least 6 months of experience or academic work programming with Python, Go, Scala, or Java
Experience or academic work deploying AI/ML systems on cloud platforms such as AWS, Google Cloud, or Azure
Experience or academic work developing and applying techniques for optimizing AI/ML training or inference pipelines, including distributed GPU computational frameworks
Experience or academic work with AI/ML domains and systems such as LLM inference, search and retrieval, NLP, computer vision, guardrails, or memory
Familiarity with agentic frameworks such as LangChain, LangGraph, LlamaIndex, Autogen, MCP/A2A, or frontier-labs agent SDKs

Benefits

Comp & perks

Full-time paid twelve-week internship
Eligibility for evaluation for a full-time position after the internship
Health, financial, and other benefits supporting total well-being (eligibility varies by status and management level)
Reasonable accommodations for applicants with disabilities