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Senior AI Software Engineer, Risk - Insurance Claims Management at Lyft · LumiJobs

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Lyft· Posted 2026-09-14

Senior AI Software Engineer, Risk - Insurance Claims Management

San Francisco Officefull timeRemote

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senior

$136k–$170k

H1B: yes

Lyft The Senior AI Software Engineer leads architectural decisions and development of a scalable, reliable Risk Management Information System for insurance claims management. This role collaborates across teams to deliver end-to-end solutions and drive platform innovations with AI automation.

Responsibilities

Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.
Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.
Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions
Deliver scalable, reliable, high quality and well-tested solutions and code.
Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.
Lead code reviews, design reviews, production on-call support and incident triaging process.
Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.
B.S., M.S. in Computer Science or 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, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.
Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.
Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant AI frameworks.

Qualification

Required

B.S. or M.S. in Computer Science or related technical field or relevant work experience
6+ years of professional experience building scalable distributed systems
Proven ability to build end-to-end products and platforms
Strong ability to reason about tradeoffs in system design and architecture

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Parental Leave
Wellness

Company

Lyft

View company page

1001-5000 employees

Transportation

Founded 2012

Source: greenhouse

Active within the past hour

Remote-friendly

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