Lead Software Engineer, Full Stack (Enterprise Platforms Technology)

Capital One • McLean, VA

2d

About The Position

Lead Software Engineer, Full Stack (Enterprise Platforms Technology) We are hiring a Lead Software Engineer to build the AI-powered marketing content layer - the systems that generate, assemble, review and publish marketing content across email, mobile app, site placement and push notifications. You will work on LLM-integrated content generation pipelines, channel-specific content builds, and AI-assisted compliance workflows that ensure every piece of marketing content meets regulatory standards before it reaches customers. Who We Are: Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What You’ll Do: Build software solutions to iterate on AI content generation services - integration of LLM’s 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 – build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval. Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch. Build evaluation and observability tooling for LLM outputs – golden dataset benchmarks, A/B content quality metrics and drift detection. Develop template and component systems that allow marketers to assemble compliant content from pre-approved building blocks across channels. Write well-tested, production-ready code and participate in CI/CD pipeline development, including model evaluation pipeline. Lead the design of end-to-end content generation features; write architecture proposals and drive cross-team alignment Define guardrail frameworks for LLM outputs – toxicity filters, brand voice enforcement, compliance boundary checks – and establish operational runbooks. Utilize programming languages like Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Requirements

• Bachelor's Degree
• At least 4 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• Utilize programming languages like Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Nice To Haves

• Master's Degree
• 7+ years of experience in at least one of the following: JavaScript,TypeScript, NodeJS, SQL, Python, or Java
• 3+ years of experience with React/vuejs application stack
• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 2+ years of experience in Agile practices
• 1+ years of experience in at least one of the following: LLM integration, model API, prompt engineering or AI-augmented feature generation.
• 1+ years of experience in at least one of the following: Marketing Technology, ESP’s, campaign management, content personalization or digital marketing platforms.
• 1+ years of experience in at least one of the following: MJML or Apache Volocity

Responsibilities

• Build software solutions to iterate on AI content generation services - integration of LLM’s 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 – build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval.
• Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch.
• Build evaluation and observability tooling for LLM outputs – golden dataset benchmarks, A/B content quality metrics and drift detection.
• Develop template and component systems that allow marketers to assemble compliant content from pre-approved building blocks across channels.
• Write well-tested, production-ready code and participate in CI/CD pipeline development, including model evaluation pipeline.
• Lead the design of end-to-end content generation features; write architecture proposals and drive cross-team alignment
• Define guardrail frameworks for LLM outputs – toxicity filters, brand voice enforcement, compliance boundary checks – and establish operational runbooks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees