Forward Deployed Engineering Intern, BS/MS, 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

Forward Deployed Engineering Intern, BS/MS, Summer 2027

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• 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

• 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 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.

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.