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 Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
