Senior Engineer, Interactive Voice Response - AI/ML

This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $215,000.00/yr

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Our Service Engineering team at GEICO is revolutionizing customer service using AI and multi‑agent systems. If you're passionate about creating large‑scale, distributed AI applications with significant business impact, this opportunity is perfect for you. Our focus is on enhancing self‑service rates across all communication channels, from voice (IVR) to chat. Our Senior Engineer is a leading member of the engineering staff working across the organization to provide friction‑less experience for our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high‑quality technology products and services in a hyper‑growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front‑end UIs through back‑end systems and all points in between.

As a Senior Engineer, You Will

• 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 environments.
• 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.

Qualifications

• 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).
• Demonstrated ability to apply AI/ML solutions to real‑world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation.
• Experience in building products using micro‑service‑oriented architecture and extensible REST APIs.
• Experience building the architecture and design (architecture, 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 (task management, source code, building, deployment, operations, real‑time communication).

Experience

• 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.

Education

• Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience.

Benefits

• Comprehensive Total Rewards program that offers personalized coverage tailor‑made for you and your family’s overall well‑being.
• Financial benefits including market‑competitive compensation; a 401(k) savings plan vested from day one that offers a 6 % match; performance and recognition‑based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility—We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

Equal Employment Opportunity Statement: The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.