Sr. Lead Software Engineer - Full Stack (enterprise Platforms Technology)

capitalonecareers.ca

McLean, VA, US
Mclean, va: $229,900 - $262,400; new york, ny: $25...
Not specified (assumed hybrid based on company culture)
Llm-integrated content generation pipelines
Channel-specific content builders
Ai-assisted compliance workflows
Capital One is seeking a Sr. Lead Software Engineer in Full Stack for their Enterprise Platforms Technology team. The role involves developing AI-powered marketing content solutions and requires extensive software engineering experience, particularly with cloud computing and programming languages like Python

Job Summary

  • Build software solutions to iterate on AI content generation services, integrating LLMs into content authoring workflows with prompt management, output validation, and Human-In-The Loop review.
  • Develop channel-specific content builders for email, mobile app placements, web site placements, and push notifications, with responsive rendering and preview capabilities.
  • Implement AI-assisted compliance review workflows by building classifiers and scoring pipelines that flag potential UDAAP, CAN-SPAM, claims, and disclosures before content approval.

Matching Summary

Match Score: 85

Capital One is seeking a Sr. Lead Software Engineer in Full Stack for their Enterprise Platforms Technology team. The role involves developing AI-powered marketing content solutions and requires extensive software engineering experience, particularly with cloud computing and programming languages like Python.

Salary

McLean, VA: $229,900 - $262,400; New York, NY: $250,800 - $286,200; Richmond, VA: $209,000 - $238,500; Bonus/Equity: performance based incentive compensation, cash bonus(es) and/or long term incentives (LTI); Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • LLM-integrated content generation pipelines
  • channel-specific content builders
  • AI-assisted compliance workflows
  • multi-agent orchestration systems
  • evaluation and observability tooling for LLM outputs
  • template and component systems
  • Python, Open Source RDBMS, NoSQL databases
  • Container Orchestration (Docker, Kubernetes)
  • AWS tools and services

Nice-to-have

  • marketing content across email, mobile app, site placement
  • regulatory standards
  • Human-In-The Loop review
  • responsive rendering and preview capabilities
  • UDAAP, CAN-SPAM, claims and disclosures
  • campaign dispatch
  • golden dataset benchmarks
  • A/B content quality metrics
  • drift detection
  • pre-approved building blocks
  • CI/CD pipeline development
  • model evaluation pipeline
  • architecture proposals
  • cross-team alignment
  • guardrail frameworks for LLM outputs
  • toxicity filters
  • brand voice enforcement
  • compliance boundary checks
  • operational runbooks

Key Requirements

  • Bachelor’s Degree
  • At least 6 years of professional software engineering experience
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Master’s Degree
  • 5+ years of experience with Python
  • 3+ years of experience in Java, Go, TypeScript/JavaScript or Node.js
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 1+ years of experience in LLM integration, model API, prompt engineering or AI-augmented feature generation
  • 1+ years of experience in Marketing Technology, ESP’s, campaign management, content personalization or digital marketing platforms
  • 1+ years of experience in MJML or Apache Volocity

Work Rights

Not specified

Sponsorship: available

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