SAP SAP iXp Intern - AI Architecture Advisory 

Colombia, Valle del Cauca, Cabecera Municipal Cartago 

890813675

1.Culture of collaboration:meet with mentors, make new friends across the globe and create a thriving personal network.

2.Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.

3.: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

What you’ll do:

Duration: 6 months Up to 12 months

As an Intern your key responsibilities:

• Support AI Jumpstart Workshops: Collaborate with the team to prepare and execute AI Jumpstart workshops with customers, providing technical support and contributing to solution ideation.
• Prototyping and Testing: Build prototypes and proof-of-concepts to validate AI solutions and demonstrate their business impact.
• Technical Documentation: Create comprehensive documentation for AI architectures, processes, and best practices to ensure knowledge transfer and scalability.
• Team Collaboration: Collaborate with multidisciplinary teams, including sales, customer advisory and post sales organization, to align AI initiatives with business objectives in all SAP engagements
• Knowledge Transfer for the SAP Ecosystem: Support knowledge-sharing initiatives by documenting best practices, creating training materials, and conducting sessions to enable SAP teams and partners.

Who you are:

We’re looking for someone who
takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

• Must be a university student
• Preferred fields of study: Business Administration, System Engineering would be a plus
• Technical Skills:
  • AI Knowledge: Foundational understanding of AI concepts, machine learning algorithms, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Python Expertise: Programming skills in Python, with experience in data manipulation, analysis, and machine learning libraries.
  • Data Analytics: Knowledge of analytics tools and techniques, including visualization, statistical analysis, and feature engineering.
  • SAP Ecosystem: Familiarity with SAP platforms, solutions, and tools (e.g., SAP BTP) is a plus.
  • System Design: Basic understanding of system engineering principles and how AI solutions integrate within broader system architectures.
  • Cloud Platforms: Familiarity with cloud platforms (e.g., SAP BTP, AWS, Azure, or Google Cloud) is a plus.

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