Director, Staff Engineer - Agentic AI (Remote-Eligible)

About the role

As a Director, Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will collaborate with developers, machine learning experts, product managers, and people leaders to devise practical and reusable solutions to complex problems. Staff Engineers at Capital One are leading experts in their domains, driving innovation at multiple levels while optimizing business outcomes and technology solutions.

You will promote a culture of engineering excellence and balance lending expertise with an inclusive environment where diverse ideas are championed. You will lead the way in creating next-generation talent, mentoring internal talent, and actively recruiting to strengthen Capital One Tech’s community. Staff Engineers are expected to lead through technical contribution, acting as trusted advisors for key technologies, platforms, and capability domains. You will create clear communications, code samples, blog posts, and other materials to share knowledge both inside and outside the organization.

You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. As a Staff Engineer in Business Cards & Payments, your mission is to help BC&P move beyond manual and reactive marketing and sales tools by creating a destination architecture for marketing platforms, building tools that enhance sales team effectiveness, and laying the technical foundations for a real-time marketing strategy.

Responsibilities

• Rapidly prototype and assess new technologies that enable hyper-personalized marketing and assistive field sales systems.
• Partner with and influence enterprise and card tech organizations to develop the best agentic marketing and sales systems.
• Establish and evangelize technical charters that accelerate the organization’s adoption of AI technologies.
• Bridge the gap between current systems and the future, ensuring existing systems remain healthy and continue to serve the business.
• Regularly clear roadblocks for developers across the organization, applying technical, process, or risk-acceptance solutions as needed.
• Serve as an authoritative expert on non-functional system characteristics such as performance, scalability, and operability.
• Continue learning and injecting advanced technical knowledge into the community.
• Act as a role model and mentor within the tech community, coaching and strengthening the technical expertise of engineering and product teams.
• Provide architectural guidance and designs for large-scale cross-domain programs.
• Work with engineering teams to design and execute proofs of concept and contribute hands-on code and reviews where necessary.

About The Team

Business Cards & Payment's mission is to help businesses do more business, and the advent of Agentic AI offers massive new opportunities for BC&P to do so through real-time marketing and hyper-personalized sales systems for business card customers. We’re hiring a Staff Engineer who is ready to carve BC&P’s path toward an agentic future by defining long-term technical strategy, hands-on prototyping, launching, and scaling agentic systems.

Example areas you’ll take on include:

• Real-time, hyper-personalized marketing systems that accurately and explainably prospect and engage new business customers.
• Assistive technologies that arm field agents with superhuman knowledge and context to grow deeper relationships and close more sales.
• Exploration of autonomous sales agents (AISDRs) that self-improve via RLAIF.

Basic Qualifications

• Bachelor’s Degree.
• At least 7 years of experience in software engineering and solution architecture.
• At least 7 years of experience in enterprise architecture and design patterns.
• At least 3 years of experience with AWS.

Preferred Qualifications

• Master's Degree in Computer Science or a related field.
• 2+ years of experience working on applied and agentic AI systems.
• Strong communication skills with the ability to translate "Agentic AI" concepts into business value.
• 10+ years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud).
• 10+ years of experience coding in at least one of the following: Java, Python, Go, JavaScript, TypeScript, Swift.
• 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment, and production support.