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.
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
- 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
- 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
- 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
- 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
- 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 need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
