---
title: 'Senior AI Software Engineer, Risk - Insurance Claims Management at Lyft'
canonical: 'https://feeny.ai/job/senior-ai-software-engineer-risk-insurance-claims-management-lyft-seattle-2qq34402v93y'
type: 'job'
last_seen: '2026-09-15'
---

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

- **Company:** Lyft
- **Location:** Seattle, WA
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-09-15
- **Apply:** https://app.careerpuck.com/job-board/lyft/job/8806969002?gh_jid=8806969002

## Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides.

Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities.

This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.

This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately.

We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.

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.

Experience:

- 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.
- Experience driving AI adoption or AI automation tools to enhance development efficiency
- Experience improving performance with robust evals,agent tracing tools, fine-tuning LLMs, optimizing RAG pipelines and implementing feedback loops.
- Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.
- Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.
- Strong oral and written interpersonal skills.
- Preferred:
- Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.
- Has knowledge about AI safety and alignment considerations.
- Background in machine learning, NLP, or related fields.
- Experience with A/B testing and experimentation frameworks

Benefits:

- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $136,160 - $170,200. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

## About Lyft

## Company Overview
- **One-liner**: Lyft operates a ride-hailing, bikeshare, and scooter platform that connects drivers and riders, aiming to reduce personal car ownership and make cities more livable.
- **Entity Type**: Public (NASDAQ: LYFT)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Logan Green and John Zimmer

## Core Business
- **Primary industry/industries**: Mobility, Transportation, Ride-hailing, Micromobility
- **Target customers**: B2C (riders and drivers), B2B (Lyft Business for enterprise commutes), and public sector (transit partnerships)
- **Mission or purpose statement**: "To serve and connect" — building a more connected world, ride by ride.

## Products & Services
- **[Lyft Rideshare]**: The core on-demand ride-hailing service connecting passengers with drivers. Type: Platform / Service.
- **[Lyft Pink]**: A subscription membership offering perks like discounted rides, priority airport pickups, and free bike/scooter unlocks. Type: Subscription.
- **[Lyft Business]**: A suite of tools for companies to manage employee commutes, client rides, and delivery logistics. Type: B2B SaaS / Service.
- **[Lyft Bikes & Scooters]**: Shared electric bikes and scooters available in select cities, including the Bixi network in Montreal. Type: Micromobility Service.
- **[Lyft Flexdrive]**: A car rental program for drivers who don't own a vehicle, enabling them to earn on the platform. Type: Service / Fleet Management.
- **[Lyft Ads]**: In-app advertising platform allowing brands to reach riders and drivers. Type: Ad Tech / Marketplace.

## Market Standing
- **Valuation/Market Cap**: Approximately $4.5 billion (as of mid-2025, market cap fluctuates). **Not publicly available** for private valuation — public company.
- **Key Metric**: Annual Revenue of approximately $4.4 billion (FY 2023), with $1.3 billion in Q1 2025 reported revenue.
- **Notable Investors/Partners**: Major institutional investors include Fidelity, Vanguard, and BlackRock. Key partners include Uber (in some markets, e.g., transit data sharing), Motivate (bikeshare operator), and various municipal transit agencies.
- **Growth Signals**: Launched Lyft Ads in 2024; expanded into autonomous vehicle partnerships (Waymo, Motional); opened new offices in Toronto (2024) and Mexico City (2022); strong recovery in ride volumes post-pandemic.

## Competitive Advantages
- **Differentiated brand and culture**: Known for a friendlier, more community-oriented brand compared to competitors, with a focus on driver and rider safety.
- **Integrated multimodal platform**: Combines ride-hailing, bikes, scooters, and public transit info in one app, making it a one-stop mobility solution.
- **Strong transit partnerships**: Deep integrations with city transit agencies (e.g., Montreal's Bixi, LA Metro) provide a unique public-sector moat.
- **Data & network effects**: Large dataset on urban mobility patterns enables better routing, pricing, and demand prediction.

## Strategic Focus
- **Autonomous vehicle (AV) readiness**: Building partnerships and infrastructure to integrate AVs into the platform, positioning for a future without human drivers.
- **Advertising revenue**: Scaling Lyft Ads to create a new high-margin revenue stream, leveraging its large user base.
- **International expansion**: Selectively entering new markets (e.g., Canada, Mexico) and deepening presence in existing ones via bikeshare and transit.
- **Profitability**: Continued focus on operational efficiency and cost discipline to achieve sustained GAAP profitability.

## Why Work Here
- **Culture**: Lyft emphasizes a welcoming, inclusive culture with core values like "Be yourself," "Make it happen," and "Uplift others." The company fosters a strong sense of belonging through Employee Resource Groups (ERGs) and community events.
- **Remote/Hybrid/Office Policy**: Hybrid model — employees are expected in the office a few days a week, with flexibility. Offices are designed with tech-equipped workspaces, stocked kitchens, and themed rooms.
- **Notable Perks**:
    - **Health & Well-being**: Comprehensive medical, dental, vision; free One Medical membership; free access to therapists via Modern Health.
    - **Time Off**: Unlimited paid vacation for salaried US employees; generous PTO for hourly employees.
    - **Parental Leave**: 18 weeks of paid leave for all new parents (biological, adoptive, foster).
    - **Financial**: 401(k) plan with financial training sessions.
    - **Commute**: Free Lyft Pink membership; pre-tax commuter benefits.
    - **Learning**: Udemy subscription for professional development; mentorship programs for interns and new grads.
    - **Office Environment**: Dog-friendly offices; regular team offsites and social events.
- **Engineering Culture**: Known for high-impact work on large-scale distributed systems, machine learning, and mobile engineering. Early-career talent is highly valued, with structured mentorship and real project ownership.

## Sources
1. [Lyft Careers](https://www.lyft.com/careers)
2. [Lyft Life at Lyft](https://www.lyft.com/careers/life-at-lyft)
3. [Lyft Early Talent Programs](https://www.lyft.com/careers/early-talent)
4. [Lyft Homepage](https://www.lyft.com/)
5. [LinkedIn Lyft](https://www.linkedin.com/company/lyft)

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