Senior Gen AI Platform Engineer

Capital One; Cambridge (MA); On-site; USD 170,000 - 230,000; Full time

Job summary

Capital One is hiring an AI systems engineer to help design and scale responsible AI across banking products. You will collaborate with engineers, researchers, PMs, and product teams to deliver AI-powered features with a focus on reliability and governance.

The role emphasizes foundation models, LLM inference, multi‑model orchestration, and cost‑efficient deployment using Open Source and SaaS tools, while mentoring engineers and shaping long‑term AI strategy.

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

AI software development

Foundation models

LLM inference

MLOps

Cost-performance governance

Mentorship

Cloud platforms

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is hiring an AI systems engineer to help design and scale responsible AI across banking products. You will collaborate with engineers, researchers, PMs, and product teams to deliver AI-powered features with a focus on reliability and governance.

The role emphasizes foundation models, LLM inference, multi‑model orchestration, and cost‑efficient deployment using Open Source and SaaS tools, while mentoring engineers and shaping long‑term AI strategy.