Director, AI Engineering

Capital One

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

Posted 10/9/2026full-timeRemote • United StatesLead💰 $244,700 - $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 solutions and responsible AI practices. Proven leadership in managing engineering teams and executing enterprise-level AI strategies aligned with regulatory standards.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentPeople Leadership ExperienceScalable AI Solutions DeploymentCross-Functional CollaborationResponsible AI Standards Establishment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++C#JavaCUDAGolangAI Model TrainingModel EvaluationAI Optimization TechniquesSimilarity Search

Soft Skills

Team DevelopmentCommunicationCollaborationStrategic PlanningTalent Acquisition

Tools & Technologies

Cloud PlatformsAI Governance FrameworksObservability ToolsSaaS AI TechnologiesOpen-Source AI Tools

Industry Keywords

Responsible AIEthical StandardsRegulatory FrameworksEnterprise AI StrategyAI Engineering Practices

Tech Stack

Tools & technologies

CloudJavaPythonC++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
Manage foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Make build-vs-buy decisions across open-source and SaaS AI technologies
Develop 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
Translate enterprise AI strategy into portfolio-level execution plans
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, and audit readiness
Partner with research, compliance, and enterprise risk teams on 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 Master's degree in the same fields plus at least 6 years of experience
At least 3 years of people leadership experience
5+ years of experience managing and leading an engineering team
7+ years of experience deploying scalable and responsible AI solutions on cloud platforms
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
Experience executing long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks
Experience establishing cross-functional operating rhythms and review cadences, including OKRs, AI governance councils, and quarterly reviews
Experience right-sizing models, instance counts, and hardware types according to requirements
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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
Equal opportunity and non-discrimination commitment
Drug-free workplace