AI Engineering Specialist
Core
Design and build end-to-end AI-powered applications to automate claims processing, underwriting decision support, fraud detection, and personalized customer service for property and casualty insurance.
Role type
Senior AI Engineering Specialist (Production Systems & Agentic Workflows)
Builds
Production-grade AI services, LLM-powered APIs, RAG pipelines, and agent orchestration logic integrated with core insurance platforms.
Domain
Property & Casualty Insurance / Artificial Intelligence & Machine Learning
Deliverable
production ML models | product features
Required skills
Python, Java, SQL, Spark, NLP, Computer Vision, Predictive Modeling, LLM applications, RAG pipelines, Agent-based workflows, Data modeling, Data pipelines, Microservices, Event-driven architecture, MLOps, Docker, Kubernetes, AI observability, Responsible AI principles
Preferred skills
Google Cloud Platform, AWS, Google Cloud Gemini, A2A, MCP, Agentic RAG, P&C insurance processes (underwriting, claims, pricing), Code review, Performance optimization, Stakeholder collaboration
Technologies
Python, Java, SQL, Spark, Docker, Kubernetes, AWS, Google Cloud, LLM, RAG, MCP, Microservices
Responsibilities
Design and build end-to-end AI-powered applications for key insurance functions; Develop and integrate AI services such as LLM-powered APIs and agent orchestration logic; Architect and implement integrations between AI services and core insurance platforms using microservices; Design and optimize data models, transformations, and storage patterns; Champion responsible AI practices to ensure fairness, transparency, and compliance; Write production-quality code, review code, and troubleshoot performance issues; Leverage cloud platforms to build, tune, and deploy secure, scalable AI solutions; Lead AI initiatives from ideation through full-scale deployment; Collaborate with data scientists, engineers, and business stakeholders to identify high-value opportunities; Diagnose and resolve complex technical issues across data platforms and integrations; Assess benchmark third-party and open-source AI models for insurance use cases.