Platform Engineering Intern – AI & Data Enablement - Hybrid

ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of travelers reach their destinations efficiently. Join us and contribute to the development of innovative applications that power global travel. ATPCO is everywhere people buy flights.

We’re not just shaping the future of air travel– we’re redefining how and where great work happens. At ATPCO, we believe in flexibility, trust, and a culture where your wellbeing comes first

Why Join Us?​

✅ Remote-First Culture – Flexibility to work from home in your country of hire​

✅ Inclusive, Collaborative Culture– Be seen, heard, and valued​

✅ 401(k) with Generous Employer Match– Invest in your future​

✅ Comprehensive Benefits– Medical, Dental and Vision

Our Culture:​

We’ve built a remote-first culture rooted in trust, transparency, and belonging. With open-door leadership, weekly 1:1s, and real-time recognition, we keep our people connected and valued—no matter where they work.​

Our cultural pillars of Collaboration, Empowerment, Innovation, Learning, Transparency, and Trust guide how we show up for one another and grow together.

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. 

At ATPCO, we are deeply committed to diversity, equity, and inclusion. Our supportive policies promote work-life balance through flexible work arrangements, and we cultivate a workplace where every employee feels valued, respected, and a true sense of belonging.

We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor

All your information will be kept confidential according to EEO guidelines.