Senior AI & Distributed Systems Engineer

GEICO; Palo Alto (CA); On-site; USD 100,000 - 215,000; Full time

Job summary

GEICO in Palo Alto is seeking a Senior Engineer to design, develop, and deploy large-scale distributed AI applications powering multi-channel self-service for customers.

You will work with cross-functional teams to build scalable AI/ML solutions, leverage Python/Java, Docker/Kubernetes, and cloud services (Azure/AWS). The role emphasizes reliability, performance, and staying at the forefront of AI research in a fast-paced environment.

Qualifications

• Hands-on proficiency with modern AI/ML frameworks (TensorFlow, PyTorch) and languages like Python/Java.
• Experience designing and deploying AI/ML models in production with scalable, performant systems.
• Strong software engineering background in large-scale distributed systems in cloud environments.
• Proven ability to apply AI/ML to real-world business problems and drive measurable impact.
• Experience with microservices, REST APIs, CI/CD, and IaC practices.

Responsibilities

• Design, develop, and deploy large-scale distributed AI applications powering self-service across channels.
• Build and optimize multi-agent systems for intelligent automation and improved customer experience.
• Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions.
• Ensure reliability, scalability, and performance via architecture, testing, and monitoring.
• Stay at the forefront of AI and distributed systems research; bring innovative tools into production.
• Work with Python, SQL, NoSQL, Docker/Kubernetes, and Azure tools in a cloud environment.

Skills

Python

Java

TensorFlow

PyTorch

Azure

AWS

Docker

Kubernetes

REST APIs

CI/CD

Education

Bachelor’s degree in computer science or related field

Tools

Docker

Kubernetes

Azure

AWS

GCP

Terraform

Job description

GEICO in Palo Alto is seeking a Senior Engineer to design, develop, and deploy large-scale distributed AI applications powering multi-channel self-service for customers.

You will work with cross-functional teams to build scalable AI/ML solutions, leverage Python/Java, Docker/Kubernetes, and cloud services (Azure/AWS). The role emphasizes reliability, performance, and staying at the forefront of AI research in a fast-paced environment.