GEICO

3 weeks ago

Senior Engineer, Interactive Voice Response - AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Design, develop, and deploy large-scale distributed AI applications that improve customer self-service across voice (IVR) and chat. Build and optimize multi-agent systems for intelligent, collaborative decision-making, and partner with engineering, product, and data science teams to deliver scalable AI/ML solutions. Ensure reliability, scalability, and performance through strong architecture, testing, monitoring, and continuous delivery practices, while bringing new AI research into production.

Location: Palo Alto, Dallas, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and deploy large-scale distributed AI applications powering customer self-service across voice (IVR) and chat channels.
•Build and optimize multi-agent systems to enable intelligent, collaborative decision-making that improves automation and customer experience.
•Collaborate with engineering, product, and data science teams to translate business requirements into scalable AI/ML solutions.
•Ensure system reliability, scalability, and performance using best practices in architecture, testing, and monitoring.
•Stay current with AI/distributed systems research and bring innovative approaches and tools into production environments.

Pay and Benefits

Salary: USD 100,000 - 215,000 annually

Key Requirements

•Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
•Experience designing, developing, and deploying AI/ML models (including LLMs) in production with a focus on scalability and performance.
•Strong software engineering experience building large-scale distributed systems, preferably in cloud environments (Azure or AWS).
•Experience applying AI/ML to real-world business problems (e.g., NLP, speech recognition, recommendation systems, intelligent automation).
•Experience building products with microservice-oriented architecture and extensible REST APIs; knowledge of architecture/design, continuous delivery, and infrastructure as code is expected.

Experience:4+ years

Education:Bachelor's in computer science, Information Systems, or equivalent

Skills:Cross-functional collaborationProblem-solvingScalability mindsetReliability focusProcess improvement

Tech Stack:PythonSQLNoSQLTensorFlowPyTorchJavaC++AzureAWSGCPDockerKubernetesREST APIsMicro-service-oriented architecturePowerShellAzure PortalContinuous deliveryInfrastructure as codeApplication monitoring

Company Brief

GEICO

GEICO is a major US auto insurer offering personal auto policies, roadside assistance, and insurance products through direct-to-consumer channels and agents. Known for competitive rates and national advertising, it operates as a subsidiary of Berkshire Hathaway.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chevy Chase, United States

Founded: 1936

Website LinkedIn

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GEICO

3 weeks ago

Senior Engineer, Interactive Voice Response - AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Palo Alto, Dallas, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and deploy large-scale distributed AI applications powering customer self-service across voice (IVR) and chat channels.
•Build and optimize multi-agent systems to enable intelligent, collaborative decision-making that improves automation and customer experience.
•Collaborate with engineering, product, and data science teams to translate business requirements into scalable AI/ML solutions.
•Ensure system reliability, scalability, and performance using best practices in architecture, testing, and monitoring.
•Stay current with AI/distributed systems research and bring innovative approaches and tools into production environments.

Pay and Benefits

Salary: USD 100,000 - 215,000 annually

Key Requirements

•Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
•Experience designing, developing, and deploying AI/ML models (including LLMs) in production with a focus on scalability and performance.
•Strong software engineering experience building large-scale distributed systems, preferably in cloud environments (Azure or AWS).
•Experience applying AI/ML to real-world business problems (e.g., NLP, speech recognition, recommendation systems, intelligent automation).
•Experience building products with microservice-oriented architecture and extensible REST APIs; knowledge of architecture/design, continuous delivery, and infrastructure as code is expected.

Experience:4+ years

Education:Bachelor's in computer science, Information Systems, or equivalent

Skills:Cross-functional collaborationProblem-solvingScalability mindsetReliability focusProcess improvement

Company Brief

GEICO

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chevy Chase, United States

Founded: 1936

Website LinkedIn