Strategic AI Initiatives Intern

About the Role

As a Strategic AI Initiatives Intern, you will be a key contributor to the foundational AI and data systems that empower our internal operations and product offerings. This is a fast-paced role designed for someone with a bias for action and a high degree of agency. You will move past the theoretical and get hands-on with building, testing, and deploying intelligent agents and data pipelines.

Key Responsibilities

• Build and deploy custom AI agents and CLI tools that streamline internal processes and enable new strategic capabilities.
• Architect and refine RAG workflows, ensuring that our AI models have access to high-quality, relevant, and well-structured context.
• Deploy and maintain the data pipelines necessary to feed our AI initiatives, ensuring data reliability and seamless integration.
• Take ownership of a specific strategic project, delivering a functional, documented, and measurable end product by the conclusion of your initial internship period.
• Develop and refine data infrastructure to support AI-driven decision-making.
• Collaborate with cross-functional teams to integrate AI solutions into our product offerings.
• Contribute to the development of AI-powered tools and features that enhance our clients' experience.

Skills & Qualifications

• RAG (Retrieval-Augmented Generation)
• Equity and financial modeling
• AI agents and command-line interfaces (CLI)
• Audit and compliance
• Data engineering and pipeline deployment
• Machine learning and AI/ML development
• Graduates or final-year students from Tier 1 engineering colleges
• Prior relevant internship experience in software engineering, AI/ML, or data engineering

What You'll Learn

As a Strategic AI Initiatives Intern, you will gain hands-on experience in building and deploying AI-powered solutions, working with cutting-edge technologies, and collaborating with cross-functional teams. You will develop a deep understanding of AI-driven decision-making and its applications in the private capital industry.

Resume Tip

When applying for this role, be sure to highlight your hands-on experience with AI/ML development, data engineering, and pipeline deployment. Showcase specific projects or internships where you have applied these skills to drive business outcomes.