Director, AI Engineer

Capital One

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

Posted 10/27/2026full-timeUnited StatesLead💰 $269,100 - $335,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI and ML algorithms, with a strong focus on scalable and responsible AI solutions. Proven leadership in managing multi-team AI organizations and executing long-term AI platform strategies aligned with enterprise priorities.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentCloud Platform Deployment (AWS, Google Cloud, Azure)People Leadership ExperienceFoundation Model Optimization TechniquesResponsible AI Standards Establishment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++C#JavaCUDAGolangAI Software Component DevelopmentModel Evaluation ProtocolsScalability TechniquesAgentic AI Systems

Soft Skills

MentoringCoachingTeam DevelopmentCollaborationCommunication

Tools & Technologies

Open-Source AI TechnologiesSaaS AI TechnologiesShared InfrastructureUnified Observability FrameworksGovernance Frameworks

Industry Keywords

Responsible AIEthical StandardsRegulatory ComplianceEnterprise AI StrategyPortfolio-Level Execution

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonC++Go

About the role

Key responsibilities & impact

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Oversee design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Make build-versus-buy decisions across open-source and SaaS AI technologies
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
Attract and retain AI talent and nurture team development through mentoring and coaching
Translate enterprise AI strategy into portfolio-level execution plans across product areas
Scale AI engineering practices through shared infrastructure, reusable components, and unified observability and governance frameworks
Establish enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness
Partner with research, compliance, and enterprise risk teams to ensure systems meet ethical and regulatory standards

Requirements

What you’ll need

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies; or a Master's degree in these fields plus at least 6 years of experience
At least 3 years of people leadership experience
Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang
Experience building agentic AI systems and agentic workflows
Experience building and leading multi-team AI organizations delivering multiple enterprise products or capabilities concurrently
Proven ability to execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks
Experience establishing cross-functional operating rhythms and review cadences
Experience right-sizing models, instance counts, and hardware types for system requirements
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities