Generative AI Intern - Analytics & Innovation (AI)

Job Description:

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what's next. Let's define tomorrow, together.

Description

Description: United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Our Values: At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do.
Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation.
With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.
Job overview and responsibilities The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g., Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!
Generative AI Interns within the Analytics & Innovation (Ai) organization play a supportive yet highly impactful role by working closely alongside our established team of Data Scientists and AI Engineers. Rather than partnering directly with business stakeholders, you will be embedded within our core technical teams to help accelerate the research, development, and testing of LLM-powered solutions. We are looking for self-driven, intellectually curious individuals who are deeply passionate about the rapidly evolving AI ecosystem. In this role, you will navigate technical ambiguity with a strong analytical mindset, quickly adapting to fast-evolving frameworks while maintaining a clear, rigorous thought process in problem-solving. Your core objective will be to assist our senior practitioners in rapidly prototyping innovative AI applications, systematically evaluating model performance, and laying the groundwork for secure, next-generation enterprise AI solutions.
* Technical Collaboration & Prototyping: Collaborate intimately with senior Data Scientists and AI Engineers to assist in the rapid prototyping and technical execution of Generative AI applications, such as foundational Retrieval-Augmented Generation (RAG) pipelines, intelligent document processing, and internal AI-powered tools.
* Secure Development & Documentation: Deliver high-quality, clean, and secure code for experimental AI workloads, ensuring that all codebases are accompanied by thorough documentation to foster seamless technical hand-offs, strict code-reusability principles, and safe enterprise-grade integration.
* Data Analysis & Model Evaluation: Conduct comprehensive exploratory data analysis, data preprocessing, and feature engineering to support AI model grounding. Assist the technical team in rigorously evaluating model outputs, focusing heavily on accuracy, context retention, and proactive hallucination reduction strategies.
* Technical Communication: Effectively structure and document complex technical insights, experimental results, and methodology from your workstreams, delivering clear and professional technical presentations to your immediate peers, team leaders, and technical managers.
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

Qualifications Required (Must-Have)
* Bachelor's or Master's degree (ongoing or completed) in Engineering, Technology, Computer Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Economics, or a closely related technical field.
* Available to commit to a minimum internship duration of 6 months.
* Highly proficient with Python & SQL, complemented by a solid, practical grasp of data manipulation and analysis libraries (e.g., Pandas, NumPy).
* Strong foundational knowledge in core Machine Learning concepts (e.g., Model Training/Validation, Neural Networks) and a demonstrated understanding of Large Language Models (LLMs), Prompt Engineering mechanics, and fundamental Retrieval-Augmented Generation (RAG) architectures.
* Clear awareness of secure coding practices and AI safety protocols, including a conceptual understanding of enterprise data privacy, prompt injection vulnerabilities, and secure API handling.
* Exceptional verbal and written communication skills, with a proven ability to distill and explain complex mathematical or technical approaches clearly and concisely to a technical audience.

Qualifications Preferred (Good-to-Have)
* Prior internship in a related technical capacity, such as Data Science, Software Engineering, Machine Learning, or Advanced Analytics.
* Familiarity with the modern GenAI orchestration ecosystem (e.g., LangChain, LlamaIndex) and practical experience interacting with standard LLM API integrations (e.g., OpenAI, Anthropic Claude, Google Gemini).
* A strong intellectual curiosity or foundational exposure to advanced, cutting-edge AI paradigms, including Agentic workflows, multi-agent collaboration systems, tool-calling architectures, and vector database utilization (e.g., ChromaDB, FAISS, Pinecone).
* Hands-on experience with Git and version control systems, collaborative software development lifecycles, and standard Jupyter Notebook or similar IDE-based workflows.
* Demonstrated active engagement with the broader AI community, evidenced by personal technical projects, hackathon participation, technical blogging, or open-source GitHub contributions that showcase practical GenAI experimentation