GenAI Platform Engineer: LLMs, Orchestration & Infra

Capital One; Cambridge (MA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is creating responsible AI systems and using ML to deliver real-time, personalized banking experiences. This AI-focused role partners with engineers, researchers, PMs, and product managers to build and deploy AI software components, including foundation model training and multi-model pipelines.

The ideal candidate has 6+ years in AI/ML, strong Python/Java/CUDA skills, and experience deploying scalable AI on cloud platforms, with a track record of leading complex AI systems.

Qualifications

• ,

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
• Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems
• Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
• Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science or related fields

Master's degree in Computer Science or related fields

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is creating responsible AI systems and using ML to deliver real-time, personalized banking experiences. This AI-focused role partners with engineers, researchers, PMs, and product managers to build and deploy AI software components, including foundation model training and multi-model pipelines.

The ideal candidate has 6+ years in AI/ML, strong Python/Java/CUDA skills, and experience deploying scalable AI on cloud platforms, with a track record of leading complex AI systems.