AI Engineer 4 – Gen AI Platform Services

Capital One

. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products .

Posted 9/24/2026full-timeUnited StatesJuniorMid-Level💰 $197,300 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI-powered products, with a strong focus on foundation model training, LLM inference, and optimizing AI systems for performance and scalability. Proficient in collaborating with cross-functional teams to ensure ethical alignment and compliance in AI solutions.

Highest-signal resume keywords

AI Software DevelopmentPython ProgrammingFoundation Model OptimizationAI System ArchitectureCloud Platform Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AlgorithmsMachine Learning TechnologiesModel EvaluationPerformance TuningDistributed Systems DesignTraining Software OptimizationInference Pipeline AccelerationData GovernanceAutomated RetrainingSimilarity Search

Soft Skills

MentoringCollaborationTechnical Leadership

Tools & Technologies

AWS UltraclustersHugging FaceVectorDBsPyTorchGPU UtilizationTPU Utilization

Industry Keywords

AI GovernanceEthical AIModel Performance DriftSLO DefinitionAgentic AI Systems

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsJavaPythonPyTorchScalaC++Go

About the role

Key responsibilities & impact

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
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
Leverage open-source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
Invent and introduce foundation-model optimization techniques to improve scalability, cost, latency, and throughput
Contribute to the technical vision and long-term roadmap of foundational AI systems
Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
Define and maintain SLOs for AI reliability, including latency, uptime, and model performance drift
Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate inference pipelines
Lead technical reviews for AI system deployments, ensuring security, data governance, and compliance
Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation

Requirements

What you’ll need

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies; or a Master's degree in those fields plus at least 2 years of such experience
At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java
Capital One will consider sponsoring a new qualified applicant for employment authorization
Preferred: Experience leading AI systems development with cost, latency, throughput, and accuracy tradeoffs
Preferred: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms
Preferred: Experience designing, developing, delivering, and supporting AI services
Preferred: Experience developing AI/ML technologies using Python, C++, C#, Java, CUDA, or Golang
Preferred: Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Preferred: Experience building agentic AI systems and workflows
Preferred: Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale
Preferred: Experience defining AI model governance processes, lineage tracking, and automated retraining schedules
Preferred: Ability to influence architectural decisions across multiple AI product lines or platforms

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them