Senior Staff Machine Learning Engineer – Agent Engineering

GEICO; United States; On-site; USD 150,000 - 200,000; Full time

Job summary

A leading insurance company is seeking a Sr Staff Machine Learning Engineer to enhance its virtual assistant platform. This role demands a strong background in AI solutions and extensive software development experience. You will collaborate with a dynamic team, own the design of AI systems, and guide junior engineers. If you have a passion for innovative technology and a proven track record in AI-driven projects, this opportunity is for you.

Qualifications

• 10+ years of professional software development experience.
• 7+ years architecting and deploying AI solutions.
• 5+ years managing end-to-end solution development life cycle.

Responsibilities

• Own design, development, and maintenance of high-performance AI solutions.
• Collaborate with cross-functional teams to gather requirements.
• Take ownership in project planning and stakeholder management.
• Mentor junior engineers through code reviews.

Skills

Java

C++

Python

TypeScript

AI solutions

Generative AI

Problem-solving skills

Education

Bachelor's degree in Computer Science or related field

Tools

Elastic Search

Snowflake

Kafka

PostgreSQL

Cassandra

Spark

Airflow

Job description

Overview

GEICO is seeking an experienced Sr Staff Machine Learning Engineer – Agent Engineering to join our AI org. This person will play key roles for the development of Geico’s virtual assistant platform that elevates the productivity for 30K+ internal associates and the customer experience for millions of our policyholders. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure productivity, scalability and usability of GenAI workflows across Geico. Agent Engineers implements GenAI solutions for business stakeholders with both proven capabilities and experimental features, while synthesizing valuable insights to influence the product roadmap of the platform. The ideal candidate should demonstrate a proven track record of building high performance AI solutions, with hands-on experience in Generative AI-related ecosystems.

Responsibilities

• Own design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants, document processing copilots, voice agents, etc.
• Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
• Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
• Take ownership in project planning and stakeholder management, ensuring the efficient allocation of resources and timely delivery of solutions.
• Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

Basic Qualifications

• 10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python, TypeScript, etc.
• 7+ years of experience architecting, building & deploying end-to-end AI solutions utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. Snowflake), streaming platform (e.g. Kafka), relational database (e.g. PostgreSQL), NoSQL (e.g. Cassandra), distributed processing (e.g. Spark, Ray), workflow orchestration (e.g. Airflow, Temporal), etc. Balance craft, ownership, and speed.
• 5+ years’ experience managing end-to-end solution development life cycle, esp. measurement and monitoring of operations metrics, analytical insights and business outcomes via dashboards and other tools.
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Preferred Qualifications

• 5+ years’ experience interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives
• 4+ years’ experience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
• 3+ years’ experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
• Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments