IT AI DevOps Intern

We are seeking a motivated AI Transformation Intern to support the design and execution of enterprise AI initiatives within the IT organization. This role will work closely with AI architects and delivery leads to explore design and implement AI-native DevOps and AI operations practices. The intern will also contribute to pilot projects validate solution feasibility and support cross-functional collaboration with internal stakeholders and external AI partners.

Key Responsibilities

• Support the design and implementation of AI-native DevOps and AI Operations (AIOps) frameworks within the IT landscape

• Collaborate with AI architects and delivery leads to translate business needs into scalable AI-enabled solutions

• Participate in hands-on pilot projects including prototyping testing and validating AI use cases

• Assist in evaluating and coordinating with external AI vendors and partners including solution assessment and integration support

• Contribute to solution documentation architecture design artifacts and knowledge sharing materials

• Facilitate stakeholder communication including preparation of presentations status updates and alignment workshops

• Support project coordination activities ensuring alignment across technical teams and business stakeholders

Qualifications Required

• Currently pursuing a Bachelors or Masters degree in Computer Science Information Technology Data Science or a related field

• Basic understanding of AI/ML concepts cloud platforms (e.g. Azure Ali)

• Familiarity with DevOps practices (CI/CD Git automation tools) is a plus

• Exposure to Python APIs or data processing tools is preferred

• Strong analytical and problem-solving skills with the ability to quickly learn new technologies

• Good written and verbal communication skills in English

Key Attributes

• Strong interest in AI transformation and enterprise digital innovation

• Proactive self-driven and willing to take ownership of tasks

• Able to balance conceptual thinking (architecture/design) with hands-on execution

• Comfortable working in a fast-paced cross-functional environment

• Strong collaboration skills with the ability to engage both technical teams and business stakeholders

• Detail-oriented with a structured and organized working style