AI Engineer

EXLNew Jersey, NJ

About The Position

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. The successful candidate will collaborate with business, data, and engineering teams to deliver scalable AI capabilities aligned with enterprise governance and security standards.

Requirements

  • 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
  • Experience building enterprise AI applications and conversational AI solutions.
  • Strong Python development skills.
  • Experience with APIs, cloud platforms, and data integration.
  • Property & Casualty Insurance industry experience is required.

Nice To Haves

  • 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.

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.
  • Monitor AI performance, accuracy, governance, and responsible AI controls.
  • Collaborate with business stakeholders to identify and prioritize AI use cases.
  • Support model evaluation, prompt engineering, and AI solution optimization.
  • Maintain technical documentation and best practices
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