Distinguished Full-Stack Architect & AI Leader (Remote)

Capital One

Cambridge (MA)

Remote

USD 269,100 - 307,200

Full time

14 days+

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Job summary

Capital One seeks a Distinguished Engineer, Full Stack (Remote Eligible), to join a community of technical experts shaping the future of cloud-based banking. You will collaborate with developers, AI/ML experts, data analysts, product managers, and people leaders to create reusable solutions, drive innovation, and optimize outcomes while fostering engineering excellence.

The role emphasizes architectural leadership, cross-team collaboration, and mentoring, with responsibilities spanning POC

Qualifications

7+ years of software engineering and solution architecture experience.
Experience with cloud computing (AWS, Azure, GCP).
Designing distributed HPC and ML systems.
Full ML development lifecycle using AI/ML frameworks.
Production experience with LLM-backed or agentic systems.
Proficiency in Python, Java, Go, Scala, JavaScript/TypeScript.
8+ years owning the full SDLC, conception through production support.

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, such as performance, scalability and operability.
Continue learning and injecting advanced technical knowledge into the community.
Handle several projects simultaneously, balancing your time to maximize impact.
Act as a role model and mentor within the tech community, coaching and strengthening the technical expertise of our engineering and product teams.
Lead proof‑of‑concept development for emerging AI frameworks and architectural patterns.
Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross‑cutting perspective that raises the bar organization‑wide.
Champion AIOps practices – driving platform reliability through AI‑assisted anomaly detection, automated remediation, and predictive alerting across the portfolio.