Digital Procurement & Artificial Intelligence Solutions Intern
Intuit
Digital Procurement & Artificial Intelligence Solutions Intern
Intuit
Tax, accounting, and personal-finance software
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
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:Intuit provides financial technology tools for consumers and small businesses. Its main products are TurboTax for tax preparation, QuickBooks for accounting, and Mint for personal finance management. These tools typically operate on a subscription basis or behind transaction fees, with features that help users file taxes, track income and expenses, and manage budget and goals. The software ecosystem is designed to connect tax, accounting, and personal finance in one place, improving workflows for individuals, freelancers, and small business owners. Security is a priority, with measures like multi-factor authentication and anti-fraud protections to protect user data. Intuit’s goal is to help people achieve financial well-being by educating users and delivering easy-to-use, reliable financial software across different needs and customer segments.
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