Senior Lead Software Engineer, Full Stack
Capital One • McLean, NY8d
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About The Position
Do you love building AI-powered platforms that operate at enterprise scale? Do you thrive at the intersection of applied machine learning, knowledge engineering, and production software systems? At Capital One, you'll be part of a team of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking a Senior Lead Software Engineer to own the AI platform and knowledge infrastructure at the heart of our next-generation marketing content generation capabilities. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to drive a major transformation in how we create, validate, and deliver marketing content across all channels — building the shared knowledge platform that enables AI systems to generate compliant, on-brand content at scale across the entire organization. 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.
Requirements
- Bachelor’s Degree
- At least 6 years of experience in software engineering (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Nice To Haves
- Master’s Degree
- 4+ years of experience in Python
- 4+ years of experience building and operating retrieval-augmented generation (RAG) systems
- 3 + years of experience in applied AI/ML or LLM-based systems in production.
- 3+ years of experience with vector search infrastructure (OpenSearch, Pinecone, PGvector, Weaviate, or equivalent)
- 3+ years of experience designing and owning shared platform APIs
- 2+ years of experience with AWS services (OpenSearch Service, S3, Lambda, SQS, or equivalent)
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
Responsibilities
- Design and build the Content Moderation Knowledge Library — a business-unit-scoped, RAG-backed corpus covering regulatory requirements, brand rules, claims and disclosures, and marketing context, reusable across channels and product lines
- Own the embedding search pipeline — implement and tune retrieval pipelines for grounded AI generation, including chunking strategy, embedding model selection, index refresh, and hybrid search
- Lead Prompt MLOps — treat prompts as compiled, versioned artifacts; own the evaluation loop that continuously improves generation quality against labeled production data
- Own the AI content compliance and generation platform APIs as shared capabilities across multiple engineering teams — define contracts, manage versioning, and coordinate cross-team integrations
- Design the agentic critic validation stream — deterministic parallel validators (sensitive data detection, compliance rules, claims mapping) combined with LLM-as-judge semantic validators (brand voice, coherence, substantiation)
- Lead technical design, produce architecture documents, conduct design reviews, and mentor engineers on RAG system design, eval methodology, and production AI operations
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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What This Job Offers
Job Type
Full-time
Career Level
Senior
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