AI Intern - Insurance & Healthcare, Agentic AI

This internship offers a hands-on learning experience at the intersection of business and AI, where you will:

• Work on real-world AI transformation initiatives in Insurance & Healthcare
• Collaborate with domain experts, AI engineers, and business leaders
• Contribute to agentic AI solutions, analytics use cases, and data-driven decisioning
• Gain exposure to EXL’s AI strategy, client engagements, and productization efforts

Key Skills & Qualifications

• Currently enrolled in a Bachelor’s or Master’s degree (AI, Data Science, Computer Science, Engineering, Business Analytics, or related)
• Hands-on exposure to:
  • Claude / Open AI experience
  • GenAI / LLMs / Agentic AI concepts
  • Cloud platforms (AWS, Azure, GCP)
  • Data engineering / databases / SQL / Python
• Strong problem-solving and analytical skills
• Interest in Insurance or Healthcare domain transformation
• Ability to translate business problems into AI-driven solutions

What You’ll Do 1. Agentic AI & Product Development

• Support development of Agentic AI solutions across claims, underwriting, and customer experience
• Assist in defining AI workflows, orchestration layers, and decision intelligence systems
• Contribute to prototype development and use-case validation

2. Business Impact & Strategy

• Identify and evaluate AI-led business opportunities in Insurance & Healthcare operations
• Support opportunity sizing, value articulation, and business case development
• Translate use cases into scalable AI products or client solutions

3. Performance & Analytics

• Build and track performance metrics for AI solutions (e.g., automation %, cycle time, accuracy)
• Analyze operational and customer data to derive insights and improvement opportunities
• Create dashboards and reporting frameworks for AI-enabled outcomes

4. Innovation & Experimentation

• Collaborate on pilot-to-scale AI programs and innovation initiatives
• Contribute ideas to new AI products, accelerators, and frameworks
• Support experimentation with GenAI, LLMs, and enterprise AI platforms