Senior AI & Java Software Engineer

Government Employees Insurance Company; Bethesda (MD); On-site; USD 105,000 - 215,000; Full time

Job summary

GEICO is seeking a Senior Engineer to lead the strategy and execution of a technical roadmap, applying AI and intelligent automation to enterprise solutions while ensuring reliability, security, and operability. You will guide full-stack development across Java, C#, Python, and modern front-end frameworks.

The role emphasizes leadership, collaboration with product teams, and delivering scalable, observable AI-powered services across the organization.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
• Experience shipping LLM, generative AI, or intelligent automation solutions in production.
• Experience with architecting SaaS platforms and microservices.

Responsibilities

• Provide technical leadership across AI architectures and integration patterns.
• Collaborate with product, domain experts, and analytics partners to translate business needs into technical designs.
• Deliver high-quality services and software for multiple domains, including AI-augmented workflows.
• Identify opportunities to apply AI and intelligent automation to enterprise processes.
• Establish patterns for evaluating, monitoring, and governing production AI components.

Skills

AI/LLMs evaluation

Full-stack development

Microservices design

Java

Python

C#

Cloud services

NoSQL databases

API design

Node front-end frameworks

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

GraphQL

gRPC

Kafka

AWS

Azure

GCP

Job description

GEICO is seeking a Senior Engineer to lead the strategy and execution of a technical roadmap, applying AI and intelligent automation to enterprise solutions while ensuring reliability, security, and operability. You will guide full-stack development across Java, C#, Python, and modern front-end frameworks.

The role emphasizes leadership, collaboration with product teams, and delivering scalable, observable AI-powered services across the organization.