Senior AI Engineer - Distributed Systems & Automation

Government Employees Insurance Company; Palo Alto (CA); On-site; USD 100,000 - 215,000; Full time

Benefits offered by this job

Competitive pay

Benefits

Career growth

Job summary

GEICO's Service Engineering team in Palo Alto seeks a Senior Engineer to design, develop, and deploy large-scale distributed AI applications powering customer self-service across channels.

You will collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions, ensure reliability and performance, and work with Python, Java, C++, Docker, Kubernetes, and Azure in a fast-paced environment.

Qualifications

• Experience building AI/ML models for production with focus on scalability and performance.
• Strong software engineering background with distributed systems expertise.
• Proficiency in cloud environments (Azure/AWS) and modern ML frameworks.

Responsibilities

• Design, develop, and deploy large-scale distributed AI applications powering self-service channels.
• Build and optimize multi-agent systems for collaborative decision making.
• Collaborate with engineering, product, and data science to translate requirements into scalable AI/ML solutions.
• Ensure reliability, scalability, and performance via architecture, testing, and monitoring.
• Stay at the forefront of AI/distributed systems and bring innovative approaches to production.
• Utilize Python, Java, C++, Docker, Kubernetes, and Azure tools in daily work.
• Share best practices and improve processes across teams.

Skills

Python

Java

C++

Distributed systems design

REST API design

Education

Bachelor’s degree in computer science

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Azure

AWS

GCP

PowerShell

SQL

NoSQL

Job description

GEICO's Service Engineering team in Palo Alto seeks a Senior Engineer to design, develop, and deploy large-scale distributed AI applications powering customer self-service across channels.

You will collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions, ensure reliability and performance, and work with Python, Java, C++, Docker, Kubernetes, and Azure in a fast-paced environment.