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Forward Deployed Engineering Intern, BS​/MS

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: Google LLC
Full Time, Apprenticeship/Internship position
Listed on 2026-10-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 20000 - 27000 GBP Yearly GBP 20000.00 27000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineering Intern, BS/MS, 2027
Location: City of Westminster

Share Forward Deployed Engineering Intern, BS/MS, 2027

X Applications will open on Monday 5th October 2026.

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.

  • 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.
Preferred qualifications:
  • Currently enrolled in your penultimate/final year of education.
  • Relevant internship or practical experience implementing multi-agent systems using frameworks (e.g., Lang Graph, 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"…

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