AI-Driven Software Engineering Director

Capital One National Association

New York (NY)

On-site

USD 343,400 - 392,000

Full time

14 days+

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Job summary

Capital One is seeking a Senior Director of Software Engineering to accelerate AI-native product delivery and build an elite high-velocity team. This leader will ship production-ready code while mentoring engineers to push the envelope on AI-enabled solutions.

You will attract top talent, translate complex architectures into actionable plans, and drive rigorous, spec-driven design across initiatives. A strong technical track record and a passion for AI-driven execution are essential for success.

Qualifications

  • Bachelor's Degree required.
  • 9+ years in software or data engineering.
  • 7+ years people management experience.
  • 3+ years cloud-based data platforms (AWS/Azure/GCP).
  • Master's Degree preferred.
  • 10+ years total experience preferred.
  • 2+ years with LLM coding assistance tools (Claude, Windsurf, Copilot or similar).
  • 3+ years AWS experience preferred.

Responsibilities

  • Lead, mentor, and grow a high-velocity engineering team.
  • Incubate AI-native workflows to accelerate development speed.
  • Remain hands-on to ship production-ready code.
  • Collaborate with product teams to translate intent into reality.
  • Explain AI-generated architectures to stakeholders and ensure alignment with intent.
  • Work in Agile cycles to design, audit, and support technical solutions.
  • Bridge Intent = Execution with high-leverage output and low technical debt.
  • Conduct design and code reviews for high-quality AI output.

Skills

Leadership
AI-native development
Hands-on coding
Mentoring
Agile
Stakeholder communication

Education

Bachelor's Degree
Master's Degree

Tools

AWS
Microsoft Azure
Google Cloud Platform
Claude
Windsurf
Copilot

Job description

Capital One is seeking a Senior Director of Software Engineering to accelerate AI-native product delivery and build an elite high-velocity team. This leader will ship production-ready code while mentoring engineers to push the envelope on AI-enabled solutions.

You will attract top talent, translate complex architectures into actionable plans, and drive rigorous, spec-driven design across initiatives. A strong technical track record and a passion for AI-driven execution are essential for success.

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