Senior Engineering Fellow — AI, Cloud & Platform Architect

Capital One; Cambridge (MA); On-site; USD 314,800 - 359,300; Full time

Job summary

Capital One is seeking a Senior Distinguished Engineer to drive architecture and innovation across cloud-based banking platforms. You will mentor engineers, influence non-functional requirements and lead strategic technical initiatives with a focus on scalability, performance and real-time insights.

Collaborate with ML, product, and people-leader teams to deliver practical, reusable solutions that impact business outcomes.

Qualifications

• Bachelor’s degree required with at least 9 years of software engineering and architecture experience.
• Experience with web technologies (JavaScript/TypeScript) and full ML lifecycle.
• Cloud experience (AWS, Azure, Google Cloud) and data architecture expertise.

Responsibilities

• 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 (performance, scalability, operability).
• Continue learning and injecting advanced technical knowledge into our community.
• Handle several projects simultaneously, balancing time to maximize impact.
• Mentor engineering talent and coach the community to raise technical excellence.
• Engage on high‑order problems like multi‑tenancy, real‑time insights, anomaly detection and orchestration.

Skills

Web technologies

ML lifecycle

Cloud computing

Data architecture

Software engineering

Enterprise architecture

Education

Bachelor's degree

Master's degree in CS or related

Job description

Capital One is seeking a Senior Distinguished Engineer to drive architecture and innovation across cloud-based banking platforms. You will mentor engineers, influence non-functional requirements and lead strategic technical initiatives with a focus on scalability, performance and real-time insights.

Collaborate with ML, product, and people-leader teams to deliver practical, reusable solutions that impact business outcomes.