below marketmost similar roles pay hereabove market
This role pays less than
83%
of similar roles. Most pay
$167,500–$235,750
— the blue band above.
At the midpoint, this role pays about
$153k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Lyft
Lyft is a transportation network company offering ride-hailing services across the US and Canada.
Lyft currently has
35 open roles
on FindRole.
Listed pay typically runs
$148,000–$185,000
across 30 roles with salary data.
The Senior AI Software Engineer, Risk - Insurance Claims Management joins the Risk Tech engineering organization to build a Unified Risk Platform for insurance claims management. This role involves defining the long-term technical roadmap, providing architectural leadership, and driving the development of a scalable, intelligent Risk Management Information System. You will identify workflow bottlenecks and implement AI automation solutions to improve productivity. Key responsibilities include leading code reviews, managing production on-call support, and collaborating with Data Science and Claim Operations teams. Required technical skills include Python, experience with multimodal LLMs, RAG pipelines, agentic workflows, and data processing tools like Spark, Kafka, and Airflow. The role addresses the complex business problem of managing financial liabilities, regulatory processes, and sensitive data within a high-volume claims environment.
Define and drive the long-term technical roadmap for claims management systems.
Provide architectural leadership and make informed design tradeoffs across multiple engineering teams.
Identify workflow bottlenecks and resolve pain points using AI automation solutions.
Deliver scalable, reliable, high-quality, and well-tested code and software solutions.
Collaborate with internal teams and external insurance partners to ensure scalable integrations.
Lead code reviews, design reviews, production on-call support, and incident triaging.
Share knowledge through tech talks and suggest improvements to engineering practices.
What we're looking for
B.S. or M.S. in Computer Science or a related technical field or relevant work experience.
6+ years of professional experience building scalable distributed systems with high availability, observability, and reliability requirements.
Proven ability to build end-to-end products and platforms while collaborating with Backend, Frontend, Data Engineering, Data Science, and Product teams.
Proficiency in Python.
Experience with data processing frameworks and tools like Spark, Kafka, Airflow, and cloud provisioning environments.
Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant AI frameworks.
Prior experience in insurance, claims management, workflow orchestration, or external vendors (preferred).
Background in machine learning, NLP, or related fields (preferred).