AI Platform Engineer — Gen AI & Agentic Systems

MFS Investments; Cambridge (MA); Hybrid; USD 190.000 - 240.000; Vollzeit

Zusammenfassung

Capital One is building responsible, scalable AI systems to deliver real-time, personalized experiences. The IFX team drives AI engineering and proprietary platforms to empower associates and customers with humane and efficient banking solutions.

You will tackle training, inference, and governance across a broad AI stack, collaborating with researchers, engineers, and product managers to ship reliable AI services at scale.

Qualifikationen

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI/ML algorithms or technologies.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI/ML algorithms or technologies.
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.

Aufgaben

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components such as foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve performance, scalability, cost, latency, throughput.
• Own end-to-end architecture for complex AI systems ensuring maintainability and observability.
• Define and maintain service-level objectives for AI reliability including latency and uptime.
• Collaborate with infrastructure to optimize GPU/TPU utilization and accelerate model inference pipelines.
• Lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance.
• Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation.

Kenntnisse

Python

Go

Scala

CUDA

Java

Distributed systems

LLM inference

AI algorithms

Model optimization

Research-to-production

Ausbildung

Bachelor's degree in CS/AI/EE/CE

Master's degree in CS/AI/EE/CE

Tools

AWS

GCP

Azure

VectorDBs

Jobbeschreibung

Capital One is building responsible, scalable AI systems to deliver real-time, personalized experiences. The IFX team drives AI engineering and proprietary platforms to empower associates and customers with humane and efficient banking solutions.

You will tackle training, inference, and governance across a broad AI stack, collaborating with researchers, engineers, and product managers to ship reliable AI services at scale.