Forward Deployed Engineer, Intern - Campus Recruiting 2027

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit

What your impact will be

As a Forward Deployed Engineer Intern at Domino, you’ll spend 10 weeks working directly with our customers and teams to help them realize value from the Domino platform. Unlike traditional engineering internships, FDE interns blend software engineering skills with customer empathy and domain awareness.

Throughout your internship, you’ll get hands-on experience writing code, designing solutions, and supporting real-world, high-stakes environments spanning healthcare, life sciences, finance, government, and beyond.

At Domino, we believe in giving interns opportunities to contribute to impactful and visible projects from the start. You’ll gain mentorship, practical experience, and a strong understanding of what it means to be an FDE, all while making a meaningful contribution to our customers and teams.

What we look for in this role

• “Act fast, own it” mentality: We move fast, and need people who are driven, motivated, and bold.

• Passion for AI/data engineering, software engineering, large language models, and real world applications

• Proficiency in Python is required, additional experience with R, Java, or C/C++ is a plus

• Exposure to building applied AI systems such as RAG pipelines, agentic workflows, or model evaluation, through coursework, internships, or personal projects

• Comfort picking up container concepts such as Docker and Kubernetes, and basic familiarity with a cloud provider such as AWS, Azure, or GCP

• Strong communication and problem solving skills, with an interest in customer facing work

• Graduating in Spring 2028, pursuing a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field

What we value