To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website.

Intuit internships are 12 weeks throughout the summer. We have fixed start and end dates that are designed to work with various universities' academic calendars.

• Cohort 1: Monday, May 17 - Friday, August 6, 2027 (12 weeks)
• Cohort 2: Monday, June 14 - Friday, September 3, 2027 (12 weeks)

About our Emerging Talent Program:

Intuit invests in Emerging Talent because fresh perspectives strengthen our products and teams. The program is backed by a culture that values curiosity and collaboration, and you'll be supported by dedicated managers and mentors who are invested in your growth. As an intern or co-op, you'll work on meaningful projects with business impact, many centered on AI and emerging technologies, and contribute to driving decisions. You'll build skills through function-specific learning opportunities, connect with a global community of interns and co-ops through dedicated programming and social events, and get exposure to senior leadership and cross-functional work across Intuit's product ecosystem. Learn more about our Intern and Co-op Program here.

About the Team

The Digital Procurement Intern will bring applied AI knowledge into GSP's digital procurement strategy - helping identify, design, develop, and operationalize AI-assisted solutions across procurement operations. This role sits at the intersection of procurement domain knowledge and emerging AI capability, working across our source-to-pay landscape (Cloud ERP, orchestration, and P2P platform) to find where agentic and AI-assisted approaches can meaningfully change how procurement work gets done.

We're taking a Day 1 mindset to our end-to-end sourcing and procurement workflows - questioning what's fixed and what's not, rather than assuming today's process is the ceiling. That means developing AI and agents to complement, not replace, our orchestration layer in hybrid workflows: knowing where agentic patterns add speed and judgment, and where orchestration still carries the weight.

This is not a research project. The intern will work on live opportunities with a path to production - partnering with engineering, systems owners, and procurement operators to move ideas from concept to something that runs.

Responsibilities

• Identify high-value opportunities for AI-assisted solutions across procurement operations (sourcing, contracting, P2P, supplier management, travel and expense)
• Support the design of AI-assisted workflows, including where orchestration layers, agents, and direct-to-ERP patterns each make sense
• Bring a Day 1 lens to existing end-to-end workflows - challenging legacy assumptions and identifying where agents can complement orchestration rather than duplicate it
• Prototype and help develop solutions, from proof-of-concept through to operational readiness
• Evaluate emerging AI tools, frameworks, and vendor capabilities (e.g., agentic procurement platforms, LLM integrations) against GSP's systems strategy
• Document as-is and target-state process flows for AI-assisted procurement use cases
• Partner cross-functionally with systems owners to understand integration points and constraints
• Build business cases and present findings and recommendations to GSP leadership
• Support benchmarking against industry practice on AI-enabled procurement

Qualifications

• Currently pursuing a Bachelor's or Master's degree in a relevant field (Business, Computer Science, Data Science, Supply Chain, or related)
• Demonstrated interest in AI/ML concepts and their practical application
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Comfortable working with ambiguity and building structure where none exists yet
• Ability to collaborate across cross-functional teams (engineering, procurement operations, systems owners)

Bonus Skills:

• Coursework or project experience with LLMs, agentic frameworks, or applied AI
• Exposure to procurement, sourcing, or source-to-pay (S2P) concepts
• Familiarity with ERP or procurement platforms (Oracle, Coupa, SAP, Concur, or similar)
• Experience translating technical capability into business-ready recommendations

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $36 - $53/hr.

The expected base pay range for this position is: San Diego $37 - $56.5