Director, AI Engineering

Jobtailor; San Jose (CA); On-site; USD 190,000 - 270,000; Full time

Job summary

Capital One is seeking a visionary leader to define the strategic vision, oversee development, and manage growth of our autonomous AI systems and platforms. You will provide technical leadership for design, development, testing and deployment of agentic workflows across the organization.

You will collaborate with senior leaders, product management, sales, and engineering to align capabilities with business goals, champion the platform, and drive adoption of AI-powered tools while fostering

Qualifications

• Bachelor's degree or higher in CS/AI/EE/CE or related field; years of experience as specified.
• Minimum 6–8+ years in AI/ML algorithm development with leadership experience.
• 3+ years of people leadership experience.
• 7+ years deploying scalable AI on cloud platforms (AWS/GCP/Azure).

Responsibilities

• Define the strategic vision for autonomous AI systems and platforms.
• Oversee end-to-end lifecycle from development to sunsetting legacy offerings.
• Provide technical leadership for AI orchestration, MLOps, and application development.

Skills

AI Algorithms

ML Algorithms

Python

C++

C#

Java

Golang

LLM Inference

Similarity Search

VectorDBs

Cloud Platform Deployment

People Leadership

Technical Leadership

Communication

Presentation Skills

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

AWS

Google Cloud

Azure

Job description

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

• 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.

Core Competencies

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 Development
• Cloud Platform Deployment
• People Leadership
• Technical Leadership
• Communication And Presentation Skills

Hard Skills

• AI Algorithms
• ML Algorithms
• Python
• C++
• C#
• Java
• Golang
• LLM Inference
• Similarity Search
• VectorDBs

Soft Skills

• Excellent Communication
• Presentation Skills

Industry Keywords

• AI Orchestration
• MLOps
• Agentic Workflows
• Platform Scalability
• Legacy Offerings

Tools & Technologies

• AWS
• Google Cloud
• Azure