Senior AI Software Engineer, Risk - Insurance Claims Management
Lyft
At a glance
AI generatedAs a Senior Software Engineer at Lyft’s Risk Tech engineering organization, you will play a pivotal role in defining and driving the technical direction for claims management systems, collaborating with cross-functional teams to develop a highly reliable and scalable Unified Risk Platform. Your responsibilities include leading architectural decisions, identifying workflow bottlenecks, and implementing AI-driven automation solutions to enhance productivity and efficiency. You will work closely with internal teams and external partners to ensure seamless integration and deliver high-quality, well-tested code while also contributing to the engineering community through knowledge sharing and process improvements. Preferred skills include experience in building scalable distributed systems, proficiency in Python and React/Next.js, and expertise in AI frameworks such as multimodal LLMs and RAG pipelines, with a focus on data processing tools like Spark and Kafka. This role is crucial for managing Lyft’s growing financial liabilities and regulatory processes while ensuring proactive and accurate assistance to users.
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What you'll do
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Market check
How this pay compares to similar roles
This role pays less than 82% of similar roles. Most pay $186,156–$246,150 — the shaded band above. At the midpoint, this role pays about $166k versus about $216k for comparable roles.
Based on 240 similar postings.
Employer
Lyft is a transportation network company offering ride-hailing services across the US and Canada.
Lyft currently has 31 open roles on FindRole.
Listed pay typically runs $148,000–$185,000 across 31 roles with salary data.
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