Senior Engineer – Artificial Intelligence

GEICO

Senior Engineer developing large-scale AI applications for customer self-service at GEICO. Collaborating with cross-functional teams to enhance customer experience across various channels.

Posted 7/30/2026full-timeBethesda • California, Maryland • 🇺🇸 United StatesSenior💰 $105,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and deploying large-scale distributed AI applications, with a strong focus on scalability, performance, and collaboration across cross-functional teams. Proficient in utilizing modern AI/ML frameworks and cloud services to enhance customer self-service solutions.

Highest-signal resume keywords

Python ProgrammingAI/ML Frameworks (TensorFlow, PyTorch)Cloud Services (AWS, GCP, Azure)Microsoft Dynamics CRMArchitecture and Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentDistributed SystemsMachine Learning ModelsNoSQL DatabasesSQL ProgrammingContainer Orchestration (Docker, Kubernetes)Open-Source FrameworksJava Frameworks (J2EE)AI Application DevelopmentPerformance Optimization

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Azure Tools and ServicesMicrosoft Power PlatformsIVR SystemsChat SystemsSMS Communication

Industry Keywords

Customer ExperienceAutomationSelf-Service SolutionsCross-Functional TeamsScalability

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJ2EEJavaKubernetesNoSQLPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat, SMS Email) in CRM application.
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.

Requirements

What you’ll need

4+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java)
4+ years of experience in open-source frameworks
3+ years of experience with architecture and design
3+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience with Microsoft Dynamics CRM, Microsoft Power Platforms preferred.
Hands-on proficiency 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 (LLMs) in production environments, with a focus on scalability and performance.
Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).

Benefits

Comp & perks

Competitive pay
Benefits
Flexibility to support your well-being and future
Personalized development programs
Mentorship
Certification assistance