About the role

What will you do at EXL?

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.

The successful candidate will collaborate with business, data, and engineering

teams to deliver scalable AI capabilities aligned with enterprise governance and

security standards.

· 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
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:
o Databricks Genie
o Microsoft Copilot Studio
o Large Language Models (LLMs)
o 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.

Which skills does this role require?

Vector SearchAPIRisk OperationsMachine Learning

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