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 Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
