Forward-Deployed AI Engineer Intern (Summer 2027)

Google LLC; Sunnyvale, New York (CA, NY); On-site; USD 98,000 - 131,000; Full time

Job summary

Google LLC is seeking an Forward Deployed Engineering Intern for Summer 2027. You will work as an embedded builder, delivering production-grade AI solutions within customer environments while tackling integration, data readiness, and state-management challenges.

You will code, debug, and ship bespoke agentic workflows, collaborating with Google's engineering minds to drive value and inform product roadmaps. Strong Python and cloud experience are preferred.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field.
• Experience with Python or a similar coding language.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (GCP).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures to power enterprise AI solutions.

Responsibilities

• Develop and deploy agentic AI solutions directly within customer environments.
• Code, debug, and jointly ship bespoke agentic workflows with customers.
• Help solve integration, data readiness, and state-management challenges.
• Collaborate with customer engineering teams and Google Cloud engineers to ensure successful delivery.
• Provide feedback to shape Google Cloud’s future AI product roadmap.

Skills

Python

AI systems

Data pipelines

Education

Bachelor's or Master's in Engineering/CS

Tools

Google Cloud Platform (GCP)

LangGraph

CrewAI

ADK

Vector databases

RAG architectures

Job description

Google LLC is seeking an Forward Deployed Engineering Intern for Summer 2027. You will work as an embedded builder, delivering production-grade AI solutions within customer environments while tackling integration, data readiness, and state-management challenges.

You will code, debug, and ship bespoke agentic workflows, collaborating with Google's engineering minds to drive value and inform product roadmaps. Strong Python and cloud experience are preferred.