Senior AI Software Engineer, Risk - Insurance Claims Management
About this role
Building intelligent automation solutions and establishing a unified claims management system forms the core of daily responsibilities. The Risk Tech engineering organization operates at the intersection of complex financial workflows, regulatory processes, and sensitive data to reduce accident frequency and manage costs. Engineering leaders in this group shape technical direction, guide architectural decisions, and build scalable platforms that process insurance claims efficiently.
Python development, AI features utilizing multimodal large language models, retrieval-augmented generation pipelines, and agentic workflows anchor the technical execution. Collaboration spans data science, product management, and claim operations teams to deliver robust software that handles high reliability demands. Professionals who reason effectively about system design tradeoffs, prioritize operational excellence, and enjoy solving domain-specific workflow challenges will find alignment with these team goals.
Strategic platform innovations multiply productivity across business lines while safeguarding sensitive financial data. The engineering group values technical alignment with internal partners and external insurance networks to scale operations smoothly. Individuals seeking to define industry standards for claims administration through applied artificial intelligence can establish long-term impact within this organization.
What you will do
- Define and drive the long-term technical roadmap for claims management systems while aligning priorities with product, data science, and claim operations stakeholders.
- Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.
- Analyze claim handling workflows to identify bottlenecks and multiply productivity by driving platform innovations and resolving pain points with AI automation solutions.
- Deliver scalable, reliable, high-quality, and well-tested solutions and clean code.
- 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 incident triaging processes.
- Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggested improvements to team processes.
What you need
- Bachelor of Science or Master of Science in Computer Science or a related technical field, or relevant work experience.
- Six or more 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 while collaborating effectively with cross-functional stakeholders.
- 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 relevant artificial intelligence frameworks.
- Experience driving AI adoption or automation tools to enhance development efficiency.
- Experience improving performance with robust evaluations, agent tracing tools, fine-tuning large language models, optimizing retrieval-augmented generation pipelines, and implementing feedback loops.
- Proficiency in Python alongside experience with data processing frameworks like 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 or natural language processing
- Experience with A/B testing and experimentation frameworks
- Knowledge of React, Next.js, and data analysis
Benefits
- Great medical, dental, and vision insurance options with additional programs available
- Mental health, family building, child care, and pet benefits
- 401(k) plan to help save for the future
- 12 observed holidays and discretionary paid time off for salaried team members
- 18 weeks of paid parental leave for biological, adoptive, and foster parents
- Subsidized commuter benefits and Lyft Pink membership
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
This hybrid role requires team members to work in the San Francisco office three days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles maintain the flexibility to work from anywhere for up to four weeks per year.
What is the expected salary range for this position?
The expected base pay range for this position in the San Francisco area is $148,000 to $185,000. Ranges depend on factors such as qualifications, experience, and geographic location, and do not include potential equity offerings, bonuses, or benefits.
What technologies and frameworks will I use?
The engineering work involves proficiency in Python, developing AI features using multimodal large language models, retrieval-augmented generation pipelines, agentic workflows, and data processing tools like Spark, Kafka, and Airflow.
What team will I be working with?
You will collaborate with colleagues from engineering, data science, product, and claim operations. The Risk Tech engineering organization focuses on reducing accident frequency, saving lives, and managing insurance costs.