Forward-Deployed AI Intern: Cloud & Data Pipelines

Google LLC; Reston (VA); On-site; USD 98,000 - 131,000; Full time

Job summary

Google LLC's Cloud Consulting internship offers an embedded role across Sunnyvale, Reston, and New York. You will code and ship bespoke AI-driven solutions inside customer environments, acting as an innovator-builder with direct access to Google's engineering minds.

Applicants should be in their penultimate year pursuing a Bachelor's or Master's in Engineering or Computer Science, with Python experience and GCP knowledge.

Qualifications

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

Responsibilities

• Develop AI applications from rapid prototypes to production-grade agentic workflows.
• Architect and code integration between Google AI products and customer infrastructure.
• Build high-performance evaluation pipelines and observability for accuracy and latency.
• Identify patterns in Google's AI stack and turn them into reusable modules.
• Collaborate with customer teams to ensure best practices and long-term adoption.

Skills

Python

AI system design

Data pipelines

Cloud platforms (GCP)

Education

Bachelor's or Master's in Engineering/CS

Tools

Google Cloud Platform (GCP)

Vector databases

RAG-like architectures

APIs integration

Job description

Google LLC's Cloud Consulting internship offers an embedded role across Sunnyvale, Reston, and New York. You will code and ship bespoke AI-driven solutions inside customer environments, acting as an innovator-builder with direct access to Google's engineering minds.

Applicants should be in their penultimate year pursuing a Bachelor's or Master's in Engineering or Computer Science, with Python experience and GCP knowledge.