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EXL

AI Intern

Posted Yesterday
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Remote or Hybrid
Hiring Remotely in United States
Internship
Remote or Hybrid
Hiring Remotely in United States
Internship
Hands-on AI internship supporting agentic AI solutions, prototypes, and analytics for insurance and healthcare. Collaborate with AI engineers and business leaders to define AI workflows, build metrics, analyze operational data, craft business cases, and support GenAI/LLM experimentation and productization.
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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
ResponsibilitiesWhat 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
QualificationsKey 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

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