Technology Analyst

Role Overview

• Early-career, uncertified technical analyst role focused on customer support and software development.
• Designed for individuals developing foundational skills in AI system design, LLM-based architectures, and responsible AI.

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 matter.
• Support shaping enterprise transformations enabled by technology platforms.
• Identify and advise on process changes to drive transformation success and optimize return on technology investment.
• Participate in client meetings, share updates, and exercise clear and confident communication in a professional business setting.
• Use research skills and learning resources to explore project-related topics and stay relevant with tech industry trends.

Requirements & Tech Stack

• Proficiency in programming languages such as R, Python, SQL, Java, C, or C++.
• Demonstrated proficiencies in 2-3 programming skills (Java, C/++, Python).
• 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.
• 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.
• Published work on GitHub or SourceForge and/or experience in a Hackathon.

Preferred Qualification:

• Experience as an AI Campus Ambassador or similar initiative advocating for AI use in a Campus Setting.