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NEXTMOVEFDE careers · United States
Capital One (Plano campus)

Lead Software Engineer, Full Stack (Enterprise Platforms Technology)

AI summary of the role

Lead a team building the AI-powered marketing content layer at Capital One, including LLM-integrated content generation, channel-specific builders for email/mobile/web/push, and AI-assisted compliance workflows.

What you’ll do

  • Build software solutions for AI content generation services integrating LLMs with prompt management, output validation, and Human-In-The-Loop review.
  • Develop channel-specific content builders for email, mobile app, web, and push notifications with responsive rendering and preview.
  • Implement AI-assisted compliance review workflows with classifiers and scoring pipelines for UDAAP, CAN-SPAM, claims, and disclosures.
  • Contribute to multi-agent orchestration systems coordinating content compliance, audience selection, and campaign dispatch.

What you’ll bring

  • 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)
  • Proficiency in Python, Open Source RDBMS, NoSQL databases, Docker, Kubernetes, and AWS tools

Technologies

Python · LLM · prompt engineering · React · Vue.js · AWS · Docker · Kubernetes · NodeJS · TypeScript

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the job description

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. Contri [... source excerpt omitted ...] 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 Doc [... source excerpt omitted ...] years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 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 generatio

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