Forward Deployed Engineering Intern, BS/MS, 2027
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Please complete your application before 13th November 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
This internship is intended for students enrolled in their penultimate/final year of education in an accredited Master's full-time degree program located in the EMEA region. Participation in the internship program requires that you are located in the UK for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2027 (starting in May, June or July) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.
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 an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume
- In the “Education Section:” attach a current or recent unofficial or official transcript in English.
- Under “Degree Status,” select “Now attending” to upload a transcript.
Please include your expected graduation date (month and year) and availability for the internship on your resume. The specific team and project(s) will be determined based on your educational background, interest and skills.
Minimum qualifications:
- Currently enrolled in a Bachelor's or Master's degree in Computer Science or a related technical field in the EMEA region.
- Relevant internship or practical experience with software development using Python or a similar coding languages.
- Relevant internship or practical experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
- Relevant internship or practical experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
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Preferred qualifications:
- Currently enrolled in your penultimate/final year of education.
- Relevant internship or practical experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Relevant internship or practical experience leading technical discovery sessions.
- Relevant practical or internship experience with backend system development and modern coding environments (e.g., Go, Rust, Java, or ML pipelines in Python).
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
- Ability to complete a 13-17 week full-time internship in the UK starting in either May, June or July 2027.
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.
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.
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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
- 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.
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