Senior AI Software Engineer, Risk - Insurance Claims Management
About this role
The Risk Tech engineering organization at Lyft builds a centralized Unified Risk Platform to manage complex insurance claims workflows, handle sensitive financial data, and drive data-informed decisions that reduce accident frequency and control operating costs.
Engineering leadership seeks a Senior Software Engineer to set the technical direction and design scalable Risk Management Information Systems utilizing artificial intelligence automation. The person in this role will collaborate directly with product management, data science, and claim operations teams to build reliable end-to-end solutions, streamline workflows, and integrate external insurance partners.
Candidates who succeed here bring extensive experience building distributed systems and possess strong background knowledge in multimodal language models, retrieval-augmented generation pipelines, and agentic workflows. An aptitude for balancing technical tradeoffs, driving AI adoption, and navigating complex domain modeling will serve the incoming engineer well.
What you will do
- Define and drive the long-term technical roadmap for claims management systems while aligning priorities across multiple internal and external stakeholders.
- Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across engineering teams.
- Analyze claim handling workflows to identify operational bottlenecks and multiply productivity through AI automation solutions.
- Deliver scalable, reliable, high-quality, and well-tested code and end-to-end technical solutions.
- Collaborate closely with internal teams and external insurance partners to ensure technical alignment and scalable integrations.
- Lead code reviews, design reviews, production on-call support, and the incident triaging process.
- Contribute to the engineering community through knowledge sharing via brown bags, tech talks, and process improvements.
What you need
- Bring at least 6 years of professional experience building scalable distributed systems with high availability, observability, and reliability requirements.
- Demonstrate a proven ability to build end-to-end products and platforms while collaborating effectively with backend, frontend, data engineering, data science, and product teams.
- Show strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.
- Possess hands-on experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and related AI frameworks.
- Demonstrate experience driving AI adoption or automation tools to enhance development efficiency.
- Show proficiency in Python programming.
- Have experience with data processing frameworks and tools such as Spark, Kafka, Airflow, and cloud provisioning environments.
Nice to have
- Prior experience in insurance, claims management, workflow orchestration or external vendors
- Knowledge about AI safety and alignment considerations
- Background in machine learning, NLP, or related fields
- Experience with A/B testing and experimentation frameworks
- Knowledge of React/Next.js and data analysis
Benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- Family building, child care, and pet benefits
- 401(k) plan to help save for your future
- Discretionary paid time off in addition to 12 observed holidays
- 18 weeks of paid parental leave and subsidized commuter benefits
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
This role will be in-office on a hybrid schedule where team members are expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
What is the salary range for this Seattle-based role?
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.
What technologies and AI frameworks will I work with?
The tech stack includes Python, Spark, Kafka, and Airflow, along with experience developing AI features using multimodal LLMs, RAG pipelines, and agentic workflows. Knowledge of React, Next.js, and data analysis is considered a plus.
Who will I be collaborating with on this team?
You will collaborate with colleagues from Engineering, Data Science, Product, and Claim Operations to deliver end-to-end solutions. The position also involves working closely with external insurance partners to ensure technical alignment.