Senior AI Engineer – Distributed Systems & Self-Service

GEICO; California (MD); On-site; USD 120,000 - 215,000; Full time

Job summary

GEICO is seeking a Senior Engineer to design, develop, and deploy large-scale AI applications powering customer self-service across voice, IVR, and chat channels. You will build multi-agent systems, collaborate with engineering, product, and data science teams, and ensure reliability and performance in a cloud environment.

The role requires hands-on AI/ML expertise, distributed systems experience, and strong coding skills in Python/Java/C++.

Qualifications

• Hands-on experience with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
• Proven experience designing, developing, and deploying AI or machine learning models in production environments, with focus on scalability and performance.
• Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).
• Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in NLP, speech recognition, recommender systems, or intelligent automation.
• Experience in building products using micro-service-oriented architecture and extensible REST APIs.
• Experience in designing architecture and design patterns, reliability, and scaling of new and current systems.
• Experience with continuous delivery and infrastructure as code.
• Experience in leveraging PowerShell scripting.
• Experience in existing Operational Portals such as Azure Portal.
• Experience with application monitoring tools and performance assessments.
• Ability to excel in a fast-paced, startup-like environment.
• Knowledge of developer tooling across the software development life cycle.
• 4+ years of professional software development experience within a Python or Java framework; 4+ years in open-source frameworks; 3+ years of experience with AWS, GCP, Azure, or another cloud service

Responsibilities

• Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat).
• Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.
• Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions.
• Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.
• Stay at the forefront of AI and distributed systems research, bringing innovative approaches and tools into production environment.
• Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
• Consistently share best practices and improve processes within and across teams.

Skills

Python

Java

C++

TensorFlow

PyTorch

Azure

AWS

Docker

Kubernetes

PowerShell

REST APIs

Education

Bachelor's degree in computer science, Information Systems, or equivalent education or work experience

Tools

Azure Portal

Docker

Kubernetes

CI/CD

PowerShell scripting

Job description

GEICO is seeking a Senior Engineer to design, develop, and deploy large-scale AI applications powering customer self-service across voice, IVR, and chat channels. You will build multi-agent systems, collaborate with engineering, product, and data science teams, and ensure reliability and performance in a cloud environment.

The role requires hands-on AI/ML expertise, distributed systems experience, and strong coding skills in Python/Java/C++.