Distinguished Engineer

Capital One Capital One · Banking · New York, NY

Distinguished Engineer role focused on architecting and leading the evolution of content generation, storage, and retrieval platforms at scale, integrating AI to empower marketers within a regulated fintech environment. The role involves defining technical direction, prototyping, and collaborating with product and AI teams, with a strong emphasis on LLM systems, RAG, and prompt tooling.

What you'd actually do

  1. Architect at Scale: Own the end-to-end architecture for content generation, storage and retrieval across all our properties (site, emails, messages etc) enabled by AI.
  2. Drive the CMS/DAM Evolution: Lead the technical strategy for the next generation of CMS (CaaS 2.0) and Enterprise DAM. Drive the initiative to deprecate legacy systems like WCM/Bloomreach, architect vendor-agnostic solutions, and support seamless integration with the Discover stack while avoiding expensive, multi-year migrations.
  3. Build Automations: Implement automations across various workflows in content storage and generation to avoid expensive migrations and establish engineering standards.
  4. Vendor strategy: Help drive decision making around vendor strategy for build vs. buy.

Skills

Required

  • General software engineering
  • solution architecture
  • shipping large-scale platforms in the cloud
  • LLM systems
  • RAG/embeddings
  • prompt/plan tooling
  • model governance

Nice to have

  • Computer Science or related field degree
  • coding with Java, Python, Go, JavaScript/TypeScript, Swift
  • modern cloud technologies (AWS, Azure, GCP)
  • microservices architecture
  • real-time data streaming (Kafka)
  • applied machine learning
  • regulated domains experience
  • drive widespread adoption and standardization of platforms in the enterprise

What the JD emphasized

  • founder-style platform leader
  • customer-safe experiences at scale
  • LLM systems, including RAG/embeddings, prompt/plan tooling, and model governance
  • regulated domains

Other signals

  • architect at scale
  • define the future of content ecosystems
  • integrating AI to empower marketers
  • partnering closely with Line of Business (LoB), product and core AI teams
  • hands-on, founder-style platform leader
  • customer-safe experiences at scale
  • LLM systems, including RAG/embeddings, prompt/plan tooling, and model governance