CPT AI Solutions Engineer Jobs
AI Solutions Engineer jobs on CPT let you apply machine learning, LLM integration, and cloud architecture skills in a structured work setting that counts toward your degree requirements. Your DSO must authorize each CPT placement before you start, and the role must connect directly to your program's learning objectives.
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Overview
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
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Get Access To All JobsAI Solutions Engineer CPT: Frequently Asked Questions
Does an AI Solutions Engineer role qualify for CPT?
Yes, if the work connects directly to your enrolled coursework and your DSO approves it. AI Solutions Engineer duties involving model deployment, API integration, or cloud-based AI infrastructure typically map to graduate programs in computer science, data science, or information systems. Your school determines whether the specific job description meets the 'integral part of curriculum' standard USCIS requires.
Can I start an AI Solutions Engineer CPT role before my DSO issues the updated I-20?
No. You cannot begin CPT employment until your DSO has issued a new I-20 with the specific employer name, start date, and CPT authorization on page two. Starting even one day early puts you out of status. Get the updated I-20 in hand and verify all details match your offer letter before your first day.
What happens to my CPT authorization if my AI Solutions Engineer project scope changes?
If your duties shift significantly, such as moving from model training to client-facing solution architecture, your DSO may require a new CPT authorization. Changes that alter the connection to your curriculum need to be reported. Contact your DSO promptly with the updated job description rather than waiting until your next semester check-in.
How do I find AI Solutions Engineer employers who are open to CPT students?
Browse AI Solutions Engineer roles on Migrate Mate, which surfaces employers with work authorization experience. When evaluating a company, look for roles that explicitly mention F-1 or CPT eligibility, or contact the recruiter before applying to confirm they've hired international students on CPT before. Startups and mid-size AI firms often have more flexible hiring processes than large enterprises.
Does part-time CPT as an AI Solutions Engineer affect my OPT differently than full-time?
Yes. Part-time CPT, defined as 20 hours or fewer per week, does not count against your OPT eligibility regardless of how many semesters you use it. Full-time CPT, over 20 hours per week, counts toward the 12-month threshold that eliminates OPT. If your AI Solutions Engineer role requires full-time hours, track accumulated full-time CPT months carefully with your DSO.