Artificial Intelligence Intern

Job Type Full-time Description Summary This internship is purpose-built for a hands-on, fast-learning technologist who thrives at the intersection of AI tools, workflow design, and code. The position works directly alongside our leadership and staff to identify opportunities, prototype solutions, and implement AI capabilities that make a real difference — for our members and our teams. Essential Functions Contribute across three core capability areas: AI Chat & Conversational Tools Design, prompt-engineer, and deploy conversational AI assistants for internal staff and member-facing use casesEvaluate and fine-tune large language model (LLM) responses to align with Sunward's voice and member service standardsBuild knowledge bases, FAQs, and retrieval-augmented generation (RAG) pipelines to ground AI responses in accurate, institution-specific information Process Orchestration & Workflow Automation Map existing manual processes and identify high-impact automation opportunities across departmentsBuild and deploy AI-powered process orchestration workflows using tools such as AWS, n8n, LangChain, or similar platformsCollaborate with teams to pilot, iterate, and scale automations — measuring time savings and quality improvements AI-Assisted Development & Coding Write, review, and refactor Python, JavaScript, Golang, or other code using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, Warp)Build lightweight internal tools, dashboards, and integrations that connect AI capabilities with existing credit union systemsDocument solutions clearly so that non-technical staff can operate and maintain them Requirements Qualifications Experience Demonstrated experience working with AI tools and platforms — including LLMs, prompt engineering, or AI APIs (e.g., OpenAI, Anthropic, Google Gemini)Experience with retrieval-augmented generation (RAG), vector databases, or embedding models preferredPrior internship, project, or freelance experience applying AI to real-world business problems preferredExposure to cloud platforms (AWS, Azure, or GCP) and API integration patterns preferredPortfolio, GitHub profile, or capstone project showcasing applied AI work preferred Education Currently enrolled in or recently completed a graduate-level program (Master's or PhD) in Computer Science, Data Science, Information Systems, AI/ML, or a closely related field Knowledge Programming proficiency in Python, Golang, and/or JavaScript; comfortable reading and writing production-quality codeFamiliarity with at least one process automation or orchestration platform (LangChain, n8n, Make, Zapier, AutoGen, AWS, or similar)Familiarity with financial services, credit unions, or regulated industries preferred Skills/Abilities Strong communication skills — able to explain technical concepts clearly to non-technical stakeholdersSelf-directed, curious, and comfortable with ambiguity in a fast-moving environment Physical Requirements/Work Environment Primarily sedentary role performed in an office setting Prolonged periods of working at a computer, including viewing screens and using a keyboard and mouse Ability to attend meetings and collaborative sessions, virtually or in person, with occasional movement within the workplace Work environment is generally professional, collaborative, and moderately paced Requires sustained mental focus, analytical thinking, and problem-solving Ability to manage multiple tasks and shifting priorities