Senior AI Software Engineer (Risk - Insurance Claims Management)

Quick Facts

• Role: Senior AI Software Engineer for Risk and Insurance Claims Management

• Focus: Build an intelligent claims management system and help create a unified risk platform

Description

Define and drive the long-term technical roadmap for claims management systems, providing architectural leadership across teams. Build scalable, reliable, well-tested solutions for complex insurance claim workflows, using AI automation to remove bottlenecks and improve productivity. Partner with internal teams and external insurance partners to deliver integrated, production-grade risk and claims capabilities.

Responsibilities

• Drive the technical roadmap for claims management systems aligned with Product, Claim Operations, and Data Science

• Lead architectural decisions and design tradeoffs across multiple engineering teams

• Understand claim handling workflows and apply AI automation/platform innovations to resolve pain points

• Deliver scalable, reliable, high-quality, well-tested code

• Ensure technical alignment and scalable integrations with insurance partners

• Lead code reviews, design reviews, production on-call support, and incident triage

• Share knowledge via brown bags/tech talks and improve engineering practices

Requirements

• BS or MS in Computer Science or related technical field, or relevant work experience

• 6+ years building scalable distributed systems with high availability, observability, and reliability

• Ability to build end-to-end products/platforms and collaborate with cross-functional stakeholders

• Strong reasoning about system design, architecture, domain modeling, and operational cost tradeoffs

• Experience building AI features using multimodal LLMs, RAG pipelines, and agentic workflows

• Experience driving AI adoption or AI automation for development efficiency

• Experience improving performance with robust evaluations, agent tracing tools, fine-tuning LLMs, optimizing RAG pipelines, and feedback loops

• Proficiency in Python

• Knowledge of React/Next.js and data analysis is a plus

• Experience with data processing frameworks and tools such as Spark, Kafka, Airflow and cloud provisioning environments

• Strong interpersonal communication skills (written and oral)

Benefits

• Medical, dental, and vision insurance options; additional programs available

• Mental health benefits

• Family building benefits

• Childcare and pet benefits

• 401(k)

• Discretionary paid time off and observed holidays (plus role-specific paid time off)

• 18 weeks of paid parental leave (biological, adoptive, and foster parents eligible)

• Subsidized commuter benefits

• Lyft Pink (exclusive opportunity to test new Ridership Program benefits)