Base: mclean va $269,100 - $307,200; richmond va $...
Hybrid
7+ years software engineering experience
7+ years enterprise architecture design
3+ years aws cloud experience
Capital One is seeking a Distinguished Engineer specialized in Agentic AI to lead innovative projects that enhance marketing and sales systems for their Business Cards & Payments team. The role involves mentoring talent, driving architectural strategies, and contributing to the development of advanced marketing technologies
Job Summary
This role involves leading the technical strategy to move Capital One's Business Cards & Payments division beyond manual tools into an agentic future.
The successful candidate will prototype autonomous sales agents (AISDRs) that self-improve via RLAIF and build assistive technologies for field agents.
Capital One offers a competitive salary range of $244,700 to $307,200 depending on location, along with performance-based incentives and comprehensive benefits.
Matching Summary
Match Score: 85
Capital One is seeking a Distinguished Engineer specialized in Agentic AI to lead innovative projects that enhance marketing and sales systems for their Business Cards & Payments team. The role involves mentoring talent, driving architectural strategies, and contributing to the development of advanced marketing technologies.
Salary
Base: McLean VA $269,100 - $307,200; Richmond VA $244,700 - $279,200; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Comprehensive health, financial, and well-being support
Skills & Requirements
Must-have
7+ years software engineering experience
7+ years enterprise architecture design
3+ years AWS cloud experience
Agentic AI system development
Real-time marketing platform architecture
Nice-to-have
Master's degree in Computer Science
Experience with RLAIF self-improving agents
Strong communication and mentorship skills
Cross-domain architectural guidance
Inclusive environment leadership
Key Requirements
Bachelor's Degree required
10+ years coding in Java, Python, Go, JavaScript, TypeScript, or Swift
10+ years full lifecycle system development experience
Employment authorization sponsorship available for qualified applicants