AI Engineer

Job Summary

We are seeking an AI Engineer to design, develop, and deploy Generative AI solutions that enhance operational efficiency, decision-making, and customer experience within the Property & Casualty Insurance domain. The role will focus on building enterprise-grade AI assistants, copilots, intelligent agents, and LLM-powered applications using modern AI platforms.

Key Responsibilities

• Design and develop AI-powered assistants, copilots, and autonomous agents.
• Build and deploy solutions using Databricks Genie, Microsoft Copilot Studio, and related AI platforms.
• Develop and optimize applications leveraging Large Language Models (LLMs).
• Implement Retrieval Augmented Generation (RAG) architectures and vector search solutions.
• Design multi-agent workflows and orchestration frameworks.
• Integrate AI solutions with enterprise data platforms and business applications.
• Maintain technical documentation and best practices.

Required Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field.
• 5+ years of software engineering, machine learning, or AI development experience.
• Hands-on experience with:
• Databricks Genie
• Microsoft Copilot Studio
• Large Language Models (LLMs)
• AI Agent Development
• Strong Python development skills.
• Experience with APIs, cloud platforms, and data integration.
• Property & Casualty Insurance industry experience is required.

Preferred Qualifications

• Experience with OpenAI, Anthropic, Gemini, or other enterprise LLM platforms.
• Experience with RAG, vector databases, and semantic search.
• Knowledge of MLOps and AI governance frameworks.
• Experience supporting underwriting, claims, policy servicing, or risk operations.

Key Skills

• Generative AI
• Databricks Genie
• Microsoft Copilot Studio
• LLMs
• AI Agents
• RAG Architecture
• Python
• Prompt Engineering
• Vector Databases
• Cloud Platforms
• P&C Insurance