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LyftLyftSan Francisco, CA

Senior AI Software Engineer, Risk - Insurance Claims Management

Senior AI Software Engineer builds scalable claims management systems for insurance risk at Lyft, driving AI automation, architecture, and integrations. Requires 6+ years experience, Python proficiency, and collaboration with engineering, data science, and operations teams.

148k – 185k
Hybrid6+ YOEBackend Engineering

About the role

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 driving AI adoption or automation initiatives to improve operational efficiency.
  • 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.
  • Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.

Compensation

Expected base pay range in the San Francisco area: $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits.

Skills

PythonReactNext.jsSparkKafkaAirflowAIKubernetesDistributed Systems

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