As a Platform Engineering Intern – AI & Data Enablement at ATPCO, you will support the Platform Capability Engineering team in advancing AI adoption, improving developer productivity, and strengthening data-driven decision-making across the enterprise.
This role provides hands-on experience evaluating AI-assisted development tools, analyzing platform metrics, building dashboards, and developing automation solutions that enhance engineering workflows. You will collaborate with engineering, product, and cross-functional stakeholders to generate insights and recommend improvements aligned with ATPCO’s platform strategy and cloud-first initiatives.
You will:
AI Enablement & Developer Productivity
Support evaluation and adoption of AI tools such as GitHub Copilot and related AI models.
Analyze usage metrics to identify opportunities to improve developer efficiency and productivity.
Document findings, best practices, and recommendations to support enterprise-wide AI adoption.
Data Analysis & Reporting
Perform data analysis using tools such as Data360, Tableau, SQL, and Excel.
Develop dashboards and visualizations to provide insights into platform usage, engineering productivity, and performance metrics.
Support data collection, transformation, and reporting activities aligned with platform KPIs.
Automation & Scripting
Develop lightweight scripts and automation solutions using Python, TypeScript, or similar languages.
Assist in integrating data sources and engineering tools to streamline internal workflows.
Contribute to improving platform processes and operational efficiency through automation.
Collaboration
Work closely with Platform Engineering, Product, and cross-functional teams.
Present findings, dashboards, and recommendations to stakeholders.
Participate in agile ceremonies, team discussions, and knowledge-sharing sessions.
The Ideal Candidate:
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Familiarity with AI tools such as GitHub Copilot or similar AI-assisted coding technologies.
Working knowledge of Python, TypeScript, or comparable scripting languages.
Experience with data analysis tools such as SQL, Excel, Tableau, or similar platforms.
Strong analytical, problem-solving, and communication skills.
Self-motivated, curious, and interested in AI-driven engineering productivity and platform optimization.