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.
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.
· 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.
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
Responsibilities
NA
QualificationsNA
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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