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About the Role

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. You will 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.

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

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)
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

Skills

AI-powered platforms
Applied machine learning
Knowledge engineering
Production software systems
Retrieval-augmented generation (RAG)
Prompt MLOps
AI content compliance
Generation platform APIs
Agentic critic validation
Vector search infrastructure
Shared platform APIs
AWS services

Location

McLean, VA
New York, NY
Richmond, VA

Work Type

Full-time

Experience Level

Senior Lead
6+ years of experience in software engineering
1+ year experience with cloud computing
4+ years of experience in Python
4+ years of experience building and operating RAG systems
3+ years of experience in applied AI/ML or LLM-based systems in production
3+ years of experience with vector search infrastructure
3+ years of experience designing and owning shared platform APIs
2+ years of experience with AWS services

Education Level

Bachelor’s Degree
Master’s Degree

Salary/Compensations

McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200
Richmond, VA: $209,000 - $238,500

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

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.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.