Senior AI Software Engineer, Risk - Insurance Claims Management

Lyft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$148,000–$185,000 / 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 $166k
$136k most similar roles pay here $260k

This role pays less than 79% of similar roles. Most pay $173,200–$246,150 — the shaded band above. At the midpoint, this role pays about $166k 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

As a Senior AI Software Engineer, Risk - Insurance Claims Management, you will join the Risk Tech engineering organization to build a unified risk platform for insurance claims management. You will drive the technical roadmap, lead architectural decisions, and develop highly reliable, scalable systems that automate claim handling workflows and resolve operational bottlenecks. Your daily work involves collaborating with cross-functional teams like Data Science and Product to deliver end-to-end solutions while leading code reviews and incident triaging. The role requires expertise in Python, Spark, Kafka, Airflow, and cloud provisioning, alongside experience building AI features using multimodal LLMs, RAG pipelines, agentic workflows, and fine-tuning techniques. You will solve complex problems involving sensitive data, regulatory processes, and financial liabilities to create a streamlined system for managing claims across multiple business lines.

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 implement AI automation solutions to increase productivity.
  • Develop scalable, reliable, and high-quality code for the Risk Management Information System.
  • Manage integrations with internal teams and external insurance partners.
  • 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 while collaborating with cross-functional teams like Data Science, Product, and Operations.
  • Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational costs.
  • Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant frameworks.
  • Proficiency in Python.
  • Experience with data processing tools such as Spark, Kafka, Airflow, and cloud provisioning environments.
  • Knowledge of React/Next.js, data analysis, insurance, claims management, AI safety, or machine learning (preferred).

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