Hiring: Senior Lead Software Engineer, Full Stack (AI Platform & Knowledge Library) (Enterprise Platforms Technology) Company: Capital One Location: New York, NY Job Posted Time: 2026-09-15 18:56:38 Employment Type: Full-time Target Skills & Keywords: AI Platform, Knowledge Library, RAG (Retrieval-Augmented Generation), Embedding Search, Vector Search, Prompt MLOps, LLM-as-Judge, Agentic Validation, Content Moderation, Knowledge Engineering, Applied Machine Learning, Python, AWS, OpenSearch, Platform APIs, AI/ML Production Systems Experience: - At least 6 years of experience in software engineering (internship experience does not apply) - At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud) - 4+ years of experience in Python (preferred) - 4+ years of experience building and operating retrieval-augmented generation (RAG) systems (preferred) - 3+ years of experience in applied AI/ML or LLM-based systems in production (preferred) - 3+ years of experience with vector search infrastructure such as OpenSearch, Pinecone, PGvector, Weaviate, or equivalent (preferred) - 3+ years of experience designing and owning shared platform APIs (preferred) - 2+ years of experience with AWS services such as OpenSearch Service, S3, Lambda, SQS, or equivalent (preferred) Required Skills: - Software engineering at scale - Cloud computing (AWS, Microsoft Azure, or Google Cloud) - Designing and building RAG-backed knowledge systems - Embedding search pipeline implementation and tuning (chunking strategy, embedding model selection, index refresh, hybrid search) - Prompt MLOps and evaluation loops - API design, versioning, and cross-team integration - Technical design leadership, architecture documentation, and design reviews - Mentoring engineers on RAG system design, evaluation methodology, and production AI operations Qualifications: - Bachelor's Degree (required) - Master's Degree (preferred) - Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion (preferred) - Capital One will consider sponsoring a new qualified applicant for employment authorization Compensation: - McLean, VA: $229,900 - $262,400 - New York, NY: $250,800 - $286,200 - Richmond, VA: $209,000 - $238,500 - Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI) - Comprehensive, competitive, and inclusive health, financial, and other benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!