Forward Deployed Engineering Intern, BS/MS, Summer 2027

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

Applications will be reviewed on a rolling basis and it’s in an applicant's best interest to apply early.

Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role.

Participation in the internship program requires that you are located in the United States for the duration of the internship program.

This internship is intended for students in their penultimate academic year, who are pursuing a Bachelor's or Master's degree in Engineering, Computer Science, a related technical field.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

Sunnyvale, CA, USA; New York, NY, USA; Reston, VA, USA.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $98000 - $131000 (USD) + 0% bonus target

Minimum 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.

Preferred qualifications

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
• In their penultimate academic year or returning to a degree program after completion of the internship.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience leading technical discovery sessions.
• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About The Job

It’s an exciting time to join our Google Cloud Consulting team, leading the AI and cloud revolution for businesses worldwide. In this role, you’ll work hand-in-hand with our customers as an embedded builder, bridging the gap between frontier AI products and production-grade reality. We are looking for early-career, high-agency engineers with a founder’s mindset. Moving beyond high-level architecture, you will code, debug, and jointly ship bespoke agentic solutions directly within customer environments while helping solve integration, data readiness, and state-management challenges. Joining a collaborative culture with direct access to Google's engineering minds, you will act as an innovator-builder, providing white-glove deployment of complex AI systems and serving as a critical feedback loop to shape Google Cloud’s future product roadmap.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

Learn more about benefits at Google .

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .