Solution Architect Intern

About the role

We are looking for a motivated and innovative Generative AI Solution Architect Intern to join our team. In this role you will assist in designing and developing AI‑driven solutions that leverage generative models. The internship provides hands‑on experience with cutting‑edge technology and the chance to contribute to impactful projects.

Key responsibilities

• Collaborate with team members to design generative AI solutions tailored to business requirements.
• Support development and testing of generative AI models under the guidance of architects, and prepare presentations and demos.
• Conduct research on the latest generative AI technologies and methodologies.
• Assist in data preparation and preprocessing for training AI models.
• Participate in team meetings and contribute ideas for improving AI solutions.

Required profile

• Currently pursuing an undergraduate degree in Computer Science, Data Science, or a related discipline.
• Basic understanding of machine learning concepts, especially generative models such as GANs and VAEs.
• Familiarity with programming languages such as Python and AI frameworks like TensorFlow or PyTorch is a plus.
• Strong analytical and problem‑solving skills with a willingness to learn.

Required skills

• Python
• TensorFlow
• PyTorch
• Generative Adversarial Networks (GANs)
• Variational Autoencoders (VAEs)

What we offer

• Hands‑on experience with generative AI projects.
• Mentorship from industry professionals.
• Access to learning programs, development workshops, and social events.
• Opportunity to explore potential career paths within a fast‑growing startup environment.