Senior Engineer – Java, Software Development, AI

GEICO

. Provide technical leadership to multiple areas and technical and thought leadership to the enterprise, including applied AI architecture, technology selection, and integration patterns across teams .

Posted 10/5/2026full-timeBethesda • Maryland • United StatesSenior💰 $105,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-augmented workflows and intelligent services, with a strong focus on full-stack development and cloud technologies. Proven ability to lead technical teams, mentor engineers, and influence product direction through innovative AI solutions.

Highest-signal resume keywords

AI Architecture DesignFull-Stack DevelopmentMicroservices DevelopmentCloud Services IntegrationEvent-Driven Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaC#PythonGraphQLGRPCSQLNoSQLAI ServicesOrchestration ToolingAutomated Testing

Soft Skills

Technical LeadershipCollaborationMentoringInfluencing ExecutivesCommunication

Tools & Technologies

DockerKubernetesAWSGCPAzureKafkaMySQLPostgreSQLCosmosCassandra

Industry Keywords

Generative AIIntelligent AutomationSaaS ProductsAPI IntegrationWorkflow Orchestration

Tech Stack

Tools & technologies

ApacheAWSAzureCassandraCloudDockerGoogle Cloud PlatformGraphQLGRPCJavaKafkaKubernetesMicroservicesMySQLNoSQLPostgresPythonSDLCSQLC++Go

About the role

Key responsibilities & impact

Provide technical leadership to multiple areas and technical and thought leadership to the enterprise, including applied AI architecture, technology selection, and integration patterns across teams
Collaborate with team members across the technology organization, product, domain experts, and analytics partners to translate business needs into technical designs that may include AI components
Deliver high-quality services and software, including AI-augmented workflows and intelligent services where appropriate
Identify and evaluate opportunities to apply AI, intelligent automation, and agentic workflows to enterprise processes
Utilize Java, C#, object-oriented languages, SQL, NoSQL databases, Docker, Kubernetes, Azure/AWS/GCP cloud tools, AI services, model APIs, and orchestration tooling
Work on end-to-end solutions spanning front-end implementations through API tiers and back-end domain services
Mentor and coach engineering and product communities, including applied AI patterns, production evaluation, and responsible deployment practices
Influence and educate executives
Design observable AI workflows using orchestration and agent patterns, tools, APIs, business rules, and human-in-the-loop steps
Select and rationalize AI technologies based on cost, latency, accuracy, security, and operability
Establish engineering patterns for evaluating, monitoring, and governing production components, including testing, quality metrics, safety, fallback behavior, and incident response

Requirements

What you’ll need

Exemplary ability to design, perform experiments—including AI/LLM evaluation, measurement, and iterative improvement in production—and influence engineering direction and product roadmap
Extensive experience shipping LLM, generative AI, or intelligent automation solutions in production environments
Strong grasp of when to use agents, retrieval-augmented generation, classical ML, rules-based workflows, or hybrid approaches for a given business problem
Experience integrating AI into enterprise services via APIs, events, authentication, and observability patterns
Understanding of agent architectures, workflow orchestration, vector retrieval, and knowledge/context design
Extensive experience in leading and building full-stack application and service development, with a strong focus on SaaS products / platforms
Proven expertise in designing and developing microservices using GraphQL, gRPC, Java, Python, Kafka, with a deep understanding of both API and event-driven architectures, including integration of AI inference, retrieval, and async/agent workflows
Proven experience designing and delivering highly-resilient event-driven and messaging-based solutions at scale with minimal latency, including long-running, failure-tolerant workflows for multi-step AI processes
Fluency and specialization with at least two modern OOP languages such as Java, C#, C++, or Python including object-oriented design
Great understanding of open-source databases like MySQL, PostgreSQL, etc., and a strong foundation with NoSQL databases like Cosmos, Cassandra, Apache Trino, etc.
Knowledge of developer tooling across the software development life cycle
Fluency in test engineering and automated testing concepts, including evaluation and regression testing for non-deterministic AI components
6+ years full-stack development experience (Java/C#/Python/Go), with expertise in client-side and server-side frameworks
4+ years of experience with architecture and design
2+ years of applied AI, generative AI, or intelligent automation experience in production, or demonstrable ownership of AI-enabled platform capabilities
2+ years of experience with AWS, GCP, Azure, or another cloud service
Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
GEICO will consider sponsoring a new applicant for employment authorization for this position

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Competitive pay
Benefits
Flexibility to support your well-being and future
Employment authorization sponsorship may be considered for a new qualified applicant
Reasonable accommodations for qualified individuals with disabilities