Forward Deployed Engineering Intern, BS/MS, Summer 2027

Google; New York (NY); On-site; USD 98,000 - 131,000; Part time

Job summary

Google Cloud Consulting invites student engineers for a Forward Deployed Engineering Intern role in Summer 2027. You’ll work as an embedded builder, shipping agentic AI systems inside customer environments with direct access to Google's engineering minds.

Ideal candidates are in their penultimate year or returning to a degree in Engineering/CS, proficient in Python, and experienced with AI systems on GCP, data pipelines, and vector databases.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Engineering/CS.
• Experience with Python.
• Experience building AI pipelines on Google Cloud Platform (GCP) and data/vector/RAG architectures.

Responsibilities

• Develop complex AI applications, transitioning prototypes to production-grade workflows.
• Connect Google AI products to customer infrastructure via APIs and data silos.
• Build evaluation pipelines and observability for accuracy, safety, and latency.
• Identify reusable modules from recurring patterns and convert them into features.
• Collaborate with customer engineering teams to promote Google-grade development practices.

Skills

Python

AI on GCP

Data pipelines

Vector databases

RAG architectures

Education

Bachelor's or Master's in Engineering/CS

Tools

GCP

LangGraph

CrewAI

ADK

Job description

Forward Deployed Engineering Intern, BS/MS, Summer 2027

Share Forward Deployed Engineering Intern, BS/MS, Summer 2027

Share Forward Deployed Engineering Intern, BS/MS, Summer 2027

Google

Sunnyvale, CA, USA; New York, NY, USA

Intern & Apprentice

Please complete your application before November 20, 2026.

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

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.

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

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

Learn more about benefits at Google.

Responsibilities

• 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.
  

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.