Senior AI Engineer defining architecture for complex agent workflows in the insurance sector. Collaborate with SMEs, design prototypes, and set evaluation standards for AI tools.
Responsibilities
Define and drive the architecture for complex agentic flows
Work closely with subject matter experts on insurance logic and agentic reasoning
Design and oversee high-fidelity prototypes for validating business relevance
Set standards for evaluating agentic behavior and build rigorous testing frameworks
Implement monitoring and tracing for decision-making processes
Collaborate with engineering to build necessary infrastructure
Conduct research into agentic AI patterns
Mentor engineers on agentic design patterns
Requirements
8+ years implementing ML/AI technologies
at least 2 years focused on building and scaling LLM-driven applications
Proven track record of building and deploying agentic workflows
Deep expertise in orchestration frameworks (e.g., LangGraph)
Expertise in teaching models to use external APIs, databases, and legacy tools effectively
Demonstrated experience taking AI models from notebooks to high-availability environments in regulated industries (e.g., P&C Insurance, Banking, or Healthcare)
Advanced Python skills; deep familiarity with state-of-the-art LLMs (OpenAI, Anthropic)
Strong experience with AWS or similar cloud providers
Creative builder mindset capable of architecting solutions in ambiguous projects
Exceptional ability to explain AI decisions to stakeholders
Build, deploy, and scale production - grade AI systems with strong Python, LLM/AI agents, data pipelines, and cloud (Azure/GCP). Must have 10+ years experience.
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