Senior AI Software Engineer, Risk - Insurance Claims Management

Lyft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$136,160–$170,200 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $153k
$123k most similar roles pay here $261k

This role pays less than 84% of similar roles. Most pay $173,200–$246,150 — the shaded band above. At the midpoint, this role pays about $153k versus about $210k 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 20 open roles on FindRole.

Listed pay typically runs $140,800–$176,000 across 15 roles with salary data.

Most-posted roles

View all roles at Lyft

At a glance

TL;DR · Senior AI Software Engineer, Risk - Insurance Claims Management

Senior AI Software Engineer, Risk - Insurance Claims Management will join the Risk Tech engineering organization to build a unified risk platform for insurance claims management. This role involves defining the long-term technical roadmap, making architectural decisions, and leading the development of a reliable, scalable, and intelligent Risk Management Information System. The engineer will identify workflow bottlenecks and implement AI automation solutions while collaborating with Data Science, Product, and Claim Operations teams to manage complex financial workflows and sensitive data. Key technologies include Python, Spark, Kafka, Airflow, and cloud provisioning environments. The candidate must have experience building distributed systems and developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and fine-tuning techniques. The role addresses the core business problem of streamlining claims operations, mitigating financial liabilities, and ensuring accurate assistance through automated, data-driven insights.

What you'll do

  • 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 them using AI automation solutions.
  • Develop scalable, reliable, and high-quality code for the Risk Management Information System.
  • Manage integrations with internal teams and external insurance partners to ensure technical alignment.
  • Lead code reviews, design reviews, and production incident triaging processes.
  • Implement advanced AI features using LLMs, RAG pipelines, and agentic workflows.

What we're looking for

  • Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent 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 cross-functional teams like Data Science and Product.
  • 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.
  • Proficiency in Python is required; knowledge of React/Next.js and data analysis is preferred.
  • Experience with data processing frameworks such as Spark, Kafka, Airflow, and cloud provisioning environments.
  • Prior experience in insurance, claims management, workflow orchestration, or machine learning fields is preferred.

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