Technology Analyst

About the Role

The Technology Analyst is an early-career, uncertified technical analyst role designed for individuals developing foundational skills in AI system design, LLM-based architectures, and responsible AI. This is an internship role taking place in Summer.

Program Highlights

• Be part of a meaningful summer project where your ideas and input truly matter—help solve real business problems using the latest tech and tools, culminating with an internship deliverable and showcase.
• Dive into a variety of assignments like coding and testing, supporting data migrations, writing project documentation, and helping plan and track project timelines.
• Receive ongoing support and guidance from a mentor (or "buddy") who’ll help you grow professionally and navigate your summer experience.
• Published work on GitHub or SourceForge and/or experience in a Hackathon.

Key Responsibilities

• Design, test, and iterate on prompts and system instructions to optimize AI's output quality across diverse client projects.
• Identify, prioritize, and document high-impact opportunities for AI integration across client projects (e.g., customer support, research, legal review, software development).
• Define and track KPIs to evaluate the effectiveness, accuracy, and ROI of AI-powered workflows, present insights and recommendations to clients.
• Collaborate with engineering teams to support API integrations, tool use implementations, and agentic workflow design using Anthropic's platform.
• Develop and implement market-leading technology assets and services, focused on solutions that really matter.
• Support shaping enterprise transformations enabled by technology platforms.
• Identify and advise on process changes to drive the success of the transformation and optimize return on technology investment.
• Participate in client meetings, share your updates, and exercise clear and confident communication in a professional business setting.
• Use your research skills and learning resources to explore project-related topics and stay relevant with trends shaping the tech industry.

Requirements & Tech Stack

• AI system design
• LLM-based architectures
• Responsible AI
• Coding and testing
• Data migrations
• Project documentation
• Planning and tracking project timelines
• GitHub / SourceForge (published work)
• Hackathon experience
• Prompts / System instructions
• AI integration
• KPIs / ROI
• API integrations
• Tool use implementations
• Agentic workflow design
• Anthropic's platform
• Technology platforms
• Return on technology investment
• Clear and confident communication

Preferred Qualifications

• Experience as an AI Campus Ambassador or similar initiative.
• API and service-oriented architecture.
• Databases (SQL or NoSQL).
• Cloud platforms (AWS, Azure, GCP).

Qualifications

• Currently pursuing a Bachelor's or Master’s degree in a Technology field (preferably Analytics, Computer Science, Cybersecurity, Data Science, Engineering, Information Systems, Information Technology, Mathematics, Quantitative Analytics, Software Engineering, Statistics, Technical Science) with an expected graduation date between December 2027 and August 2028.
• Proficiency in programming language, such as R, Python, SQL, Java, C, or C++.
• Prior internship or work experience.
• Curiosity and learning agility.
• Storytelling and clear communication.
• Entrepreneurial mindset and ownership.
• Adaptability and resilience.
• Collaboration in diverse, global teams.
• Strong ability to translate technical findings into business insights in written or verbal form.
• Demonstrated proficiencies in 2-3 programming skills (Java, C/++, Python).