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 San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
