AI Engineer 5, Gen AI Platform Services

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Jose, CAMcLean, VACambridge, MANew York, NY
Employment: Full-time
Posted: 12 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $210k

$163k $265k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $173,025–$246,150.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1891 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1020 roles with salary data.

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At a glance

TL;DR · AI Engineer 5, Gen AI Platform Services

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The AI Engineer 5 (Gen AI Platform Services) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions that power banking products. You will design, develop, test, and deploy AI software components, including foundation model training, large language model inference, multi-agent workflows, similarity search, and guardrails. Key responsibilities involve optimizing performance for scalability, cost, and latency, while leading cost-performance governance reviews and mentoring other engineers. You will utilize a technical stack featuring AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. The role focuses on solving complex technical problems by integrating LLMs and domain-specific models into unified production pipelines, ensuring technical consistency, and establishing standards for ethical AI deployment, including explainability and fairness within high-performance AI infrastructure.

What does a AI Engineer earn in California?

Median $246150 from 82 postings across 11 companies.

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Skills

Python Go Scala CUDA Java C++ C# PyTorch AWS Huggingface VectorDBs LLM Inference Similarity Search Multi-agent workflows Model Optimization Google Cloud Azure

What you'll do

Design, develop, test, and deploy AI software components including LLM inference, agents, and multi-agent workflows.
Implement foundation model optimization techniques to improve scalability, cost, latency, and throughput of production systems.
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
Establish and lead cost-performance governance reviews tracking GPU utilization and inference cost efficiency.
Lead design review boards to ensure technical consistency and compliance with AI engineering standards.
Mentor Principal and Manager-level AI engineers to foster cross-domain learning and organizational technical maturity.
Contribute to the technical vision and long-term roadmap of foundational AI systems.

What we're looking for

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of AI/ML experience.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of AI/ML experience.
At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).
Experience in building agentic AI systems and agentic workflows (preferred).

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