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# Senior Lead Software Engineer, Full Stack (AI Platform & Knowledge Library) (Enterprise Platforms Te

- **Company:** Capital One Financial Corporation
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $229,900.0 - $262,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Python (Programming Language), Operational Databases, Search Technologies, Software Engineering, Management of Software Versions, Google Cloud, Large Language Models, Core Api, Build Management, AI Platforms, Machine Learning Operations, Functional Programming, Amazon Simple Queue Service (SQS)
- **Published:** August 7, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3342460875&tx=KJ1919FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

## Description

* 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


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