Distinguished Engineer; Card Tech

Position: Distinguished Engineer (Card Tech)
Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material 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.
** In this role, you will partner with the Capital One Travel Data & Personalization team to architect the next generation of our Travel Intelligence Platform, serving as the primary architect for the foundational data schemas and orchestration layers that power our entire travel ecosystem. Your mission is to move beyond reactive tools by establishing a holistic Agentic AI framework—a vision where reasoning-based agents bridge the gap between high-scale data orchestration and real-world execution.

You will be responsible for building an ecosystem that simultaneously enables classic machine learning model development for predictive insights while scaling agentic systems to automate complex workflows. This enables proactive journey management, where AI anticipates needs and prepares recommendations while incorporating human-in-the-loop approval when necessary. A key component of your strategy will be designing our growth marketing engine, where you will lead the strategic selection and architectural integration of our technology stack to ensure seamless, hyper-personalized, and value-optimized customer acquisition.

By unifying these intelligent systems with a robust and scalable data architecture, you will transform how millions of customers discover, book, and experience travel within our premium portfolio.*
* * Articulate and evangelize a bold technical vision for your domain
* Decompose complex problems into practical and operational solutions
* Ensure the quality of technical design and implementation
* Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
* Continue learning and injecting advanced technical knowledge into our community
* Handle several projects simultaneously, balancing your time to maximize impact
* Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
* Bachelor’s Degree
* At least 9 years of experience in software engineering (including solution architecture and enterprise design patterns).
* At least 7 years of experience in Data Engineering or Machine Learning Engineering, specifically building and maintaining large-scale production data pipelines (PySpark, SQL, Airflow).
* At least 5 years of experience in Cloud Native Architecture (AWS preferred), including container orchestration (Kubernetes/Kube Flow) and serverless design.
* At least 3 years of experience in a Technical Leadership role (Principal, Staff, or Distinguished Engineer), leading cross-functional initiatives without direct reporting lines.
* Deep expertise in Data Design (Delta Lake, Snowflake, or Iceberg) and Streaming (Kafka).
* Proven track record of building Mar Tech or Personalization engines that scale to millions of users.
* Strong communication skills with the ability to translate "Agentic AI" concepts into business value for CX & Growth Marketing leadership.
10+ years of experience in Software Engineering and Solution Architecture with a focus on high-scale data systems.
3+ years of experience in Machine Learning Engineering, specifically implementing LLMs or Agentic workflows in production.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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