Senior AI Engineer — Scalable Distributed Systems

GEICO; Bethesda (MD); On-site; USD 100,000 - 215,000; Full time

Job summary

GEICO is seeking a Senior Engineer to design and deliver large-scale distributed AI applications that power self-service across voice, chat, and other channels. You will work across engineering, product, and data science teams to translate business needs into scalable AI/ML solutions and ensure reliability and performance in a fast-paced environment.

The role requires expertise in Python/Java/C++, cloud platforms (Azure/AWS), and microservice architectures, with a focus on production-grade AI

Qualifications

• 4+ years of software development in Python or Java frameworks.
• 4+ years open-source framework experience.
• 3+ years in architecture and design.
• 3+ years cloud experience (AWS/Azure/GCP).
• Experience with distributed systems and microservices.

Responsibilities

• Design, develop, and deploy large-scale distributed AI applications across channels.
• Build multi-agent systems for intelligent automation and improved customer experience.
• Collaborate with engineering, product, and data science to translate requirements into scalable AI/ML solutions.
• Ensure reliability, scalability, and performance through architecture, testing, and monitoring.
• Stay updated on AI/distributed systems research and bring innovations to production.

Skills

Strong software engineering

Education

Bachelor’s degree in computer science or related

Tools

Python

Java

C++

TensorFlow

PyTorch

AWS

Azure

GCP

Docker

Kubernetes

REST APIs

PowerShell

Azure Portal

Monitoring tools

Job description

GEICO is seeking a Senior Engineer to design and deliver large-scale distributed AI applications that power self-service across voice, chat, and other channels. You will work across engineering, product, and data science teams to translate business needs into scalable AI/ML solutions and ensure reliability and performance in a fast-paced environment.

The role requires expertise in Python/Java/C++, cloud platforms (Azure/AWS), and microservice architectures, with a focus on production-grade AI