
IT Automation Engineering Intern
Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Our Enterprise AI team is rethinking how work gets done across Flagship, not by layering AI onto existing workflows, but by rebuilding business processes from scratch as AI-native systems.
The Role
This is a hands-on building role. You will work closely with cross-functional stakeholders to design, prototype, and deploy AI-powered solutions that improve how teams work. Projects range from low-code automations using platforms like Zapier or Workato to full-stack applications built with tools like Claude Code and VS Code, written in Python or JavaScript, and deployed on cloud infrastructure like AWS.
You will take ownership of projects from start to finish: understanding a business process, exploring how to redesign it with AI, building a working solution, and iterating until it holds up in practice.
We’re looking for someone who is curious about not just how to build, but how to build well. That means learning to evaluate which tools and approaches fit a given problem, thinking through a design before jumping into code, and being open to feedback on your approach along the way.
***The internship runs from June 8 - August 14th and is in person at HQ in Cambridge, MA only***
Who This Is For
This role is for builders who are curious, resourceful, and eager to learn. You don’t need to know everything, but you should be excited to figure things out. You’re a strong fit if you:
- Have looked at a manual process and thought, “This wouldn’t exist like this if it were built today”
- Like to prototype quickly and learn by building
- Have hands-on experience building with AI tools, models, or APIs, even in personal or school projects
- Are starting to develop instincts for choosing the right tool for the job, not just using the one you know best
- Ask questions about why something is designed a certain way, not just how to make it work
- Care about whether something actually works reliably, not just in a demo
- Are energized by new technology and lean into learning it
- Can explain what you built and why to someone non-technical
Key Responsibilities
- Build and deploy automations using low-code platforms (e.g., Zapier, Workato) and, where needed, custom code (e.g., Python, JavaScript) to automate business workflows
- Integrate AI models via APIs into automation pipelines
- Help deploy and maintain applications on cloud infrastructure (e.g., AWS)
- Learn to evaluate different tools and approaches for new projects, considering tradeoffs like speed, complexity, and long-term maintainability
- Test your own work thoroughly, with a focus on accuracy and edge cases, especially for data-sensitive workflows
- Iterate on proof-of-concept solutions based on real-world performance and feedback from business stakeholders
- Keep clear notes on how your solutions are built so others can understand, maintain, and extend them
- Support AI tool pilots and help create training materials that make it easier for non-technical users to adopt AI-enabled workflows
Basic Requirements
- Current undergraduate student in Computer Science, Information Systems, or a related field
- Minimum GPA: 3.0
- Proficiency in at least one programming language (e.g., Python, JavaScript)
- Basic understanding of APIs, webhooks, and how web services communicate
- Comfort working with AI tools in a development or productivity context
- Strong problem-solving skills and a willingness to learn new tools quickly
Preferred Requirements
- Experience with low-code or no-code automation platforms (e.g., Zapier, Make, Power Automate, Workato)
- Experience building and deploying applications on cloud platforms (e.g., AWS, Azure, GCP)
- Familiarity with version control (Git) and development environments like VS Code
The pay range for this role is $25 - $35 per hour. This role is a short-term engagement that is not eligible for health and welfare benefits. Retirement benefits may be available after completing a set number of hours. Compensation and benefits information is based on Flagship Pioneering's good faith estimate as of the date of publication and may be modified in the future.
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