Director, AI Engineering

Capital One

Director of AI Engineering at Capital One overseeing the development of autonomous AI systems and platforms. Leading strategic vision, managing teams, and influencing enterprise decision-making.

Posted 7/29/2026full-timeSan Jose • California • 🇺🇸 United StatesLead💰 $293,600 - $335,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and managing autonomous AI systems and platforms, with a strong focus on AI orchestration, MLOps, and scalable solutions. Proven ability to lead technical teams and align AI initiatives with organizational goals while fostering innovation.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentCloud Platform DeploymentPeople LeadershipTechnical LeadershipCommunication And Presentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AlgorithmsML AlgorithmsPythonC++C#JavaGolangLLM InferenceSimilarity SearchVectorDBs

Soft Skills

Excellent CommunicationPresentation Skills

Tools & Technologies

AWSGoogle CloudAzure

Industry Keywords

AI OrchestrationMLOpsAgentic WorkflowsPlatform ScalabilityLegacy Offerings

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaPython

About the role

Key responsibilities & impact

Be responsible for defining the strategic vision, overseeing the development, and managing the growth of an organization's autonomous AI systems and platforms.
Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
Develop and execute the strategic vision and roadmap for the agentic AI platform, ensuring it aligns with organizational priorities.
Oversee the end-to-end lifecycle of the platform, from development and integration of AI solutions to sunsetting legacy offerings.
Guide technical teams, set best practices for AI orchestration, MLOps, and application development, and ensure platform scalability and reliability.
Work with senior leaders, product management, sales, and other engineering teams to align the platform's capabilities with business goals.
Act as a champion for the platform, articulating its strategic value to senior stakeholders and influencing enterprise decision-making.
Foster a culture of innovation and drive the adoption of AI-powered tools across the organization.

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 Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
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 (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Benefits

Comp & perks

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Capital One promotes a drug-free workplace