Applied AI Strategy & Research Intern

Quick Facts

• Role: Applied AI Strategy & Research Intern (Office of the CEO)

• Focus: Agentforce, applied AI research, and AI-driven customer engagement

• Internship windows (Summer 2027): 5/17/2027–8/6/2027, 6/1/2027–8/20/2027, 6/14/2027–9/3/2027

Description

As an Applied AI Strategy & Research intern, you’ll work at the intersection of artificial intelligence, automation, and customer engagement with a focus on Agentforce. You’ll collaborate with AI research, Agentforce, and product teams, with significant exposure to leadership, exploring how AI-driven agents and intelligent workflows enhance customer experiences and enterprise solutions.

Responsibilities

• Conduct market, applied AI research, and competitive analysis on Agentforce and AI-driven customer engagement solutions

• Collaborate with applied AI teams to build and explore AI agents, automation, and enterprise AI applications

• Analyze customer interactions with AI to improve customer experiences and operational efficiency

• Translate customer insights into product recommendations for the CEO’s office and executive leadership

• Develop briefing reports and presentations on AI strategy, customer impact, and product feedback

• Support cross-functional collaboration between AI research, Agentforce, and product strategy teams

• Attend and summarize key discussions with executives, AI researchers, and industry leaders to provide actionable insights

Benefits

• Hands-on experience in AI research, strategy, and business impact analysis

• Exposure to AI experts, executives, and thought leaders

• Deeper understanding of how AI is shaping enterprise software

• Opportunity to contribute to high-impact research influencing AI innovation

Requirements

• Current sophomore / rising junior with an expected graduation date between Dec 2027 and Jun 2028

• Pursuing a Bachelor’s degree in Computer Science, Engineering, Mathematics, Business, or a related field

• Passion for AI, technology, and business strategy

• Strong analytical and research skills; ability to synthesize complex AI concepts into actionable insights

• Excellent communication and presentation skills; ability to work cross-functionally

• Some exposure to AI/ML concepts and/or coding (e.g., Python, TensorFlow) is a plus but not required

• Preferred: prior experience in research, strategy, or business analysis; interest in AI ethics and sustainability