Senior AI Engineer — Hybrid/Remote, Scale Distributed AI

GEICO

Maryland

Hybrid

USD 105,000 - 215,000

Full time

14 days+

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Job summary

GEICO is seeking a Senior Engineer - Artificial Intelligence to design, develop, and deploy large-scale distributed AI applications powering customer self-service across channels including voice, chat, and email. The role requires building multi-agent systems and collaborating with product, data science, and engineering teams to translate business needs into scalable AI/ML solutions.

The candidate will ensure system reliability and performance, stay at the forefront of AI research, and leverage

Qualifications

  • 4+ years of professional software development in Python or Java.
  • Experience designing, deploying AI/ML models in production with scalable systems.
  • Cloud experience (Azure or AWS) in a distributed environment.
  • Experience with Microsoft Dynamics CRM and Power Platforms is a plus.

Responsibilities

  • Design, develop, and deploy large-scale distributed AI applications across multiple channels.
  • Build and optimize multi-agent systems for automated decision-making.
  • Collaborate with cross-functional teams to translate requirements into scalable AI/ML solutions.
  • Ensure reliability, scalability, and performance through architecture, testing, and monitoring.

Skills

AI/ML frameworks
Python
Java
C++
Distributed systems
Azure
Docker
Kubernetes
REST APIs
TensorFlow
PyTorch
SQL
NoSQL
Pattern design

Education

Bachelor’s degree in computer science or equivalent

Tools

TensorFlow
PyTorch
PowerShell
SQL
NoSQL

Job description

GEICO is seeking a Senior Engineer - Artificial Intelligence to design, develop, and deploy large-scale distributed AI applications powering customer self-service across channels including voice, chat, and email. The role requires building multi-agent systems and collaborating with product, data science, and engineering teams to translate business needs into scalable AI/ML solutions.

The candidate will ensure system reliability and performance, stay at the forefront of AI research, and leverage

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