Senior Lead AI Platform Engineer

Information Technology Senior Management Forum; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking a Senior Lead Software Engineer to own the AI platform and knowledge infrastructure for enterprise-scale marketing content generation. The role focuses on building a shared knowledge platform to enable compliant, on-brand AI content delivery across channels.

Responsibilities include designing RAG-backed libraries, embedding search pipelines, and leading MLOps and API design across multiple teams, with opportunities to mentor engineers and shape production AI operations.

Qualifications

• Bachelor’s Degree required.
• Minimum 6 years of software engineering experience.
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
• Master’s Degree preferred.
• 4+ years of Python experience.
• 4+ years 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.

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.

Skills

Python

RAG systems

AI/ML production

Vector search

Shared platform APIs

AWS services

Interactive AI tooling

Cloud computing

Retrieval augmented generation

Education

Bachelor’s Degree

Master’s Degree

Tools

OpenSearch

Pinecone

PGvector

Weaviate

OpenSearch Service

S3

Lambda

SQS

Job description

Capital One is seeking a Senior Lead Software Engineer to own the AI platform and knowledge infrastructure for enterprise-scale marketing content generation. The role focuses on building a shared knowledge platform to enable compliant, on-brand AI content delivery across channels.

Responsibilities include designing RAG-backed libraries, embedding search pipelines, and leading MLOps and API design across multiple teams, with opportunities to mentor engineers and shape production AI operations.