Key Takeaways
- Gain hands-on experience as an embedded builder on the Google Cloud Consulting team, working with AI and cloud technologies.
- Develop and deploy bespoke agentic AI solutions directly within customer environments.
- Opportunity to contribute to shaping the future roadmap of Google Cloud products.
- Internship duration: 13-17 weeks, full-time, starting May, June, or July 2027 in the UK.
About the Role
This is an exciting opportunity to join the Google Cloud Consulting team and be at the forefront of the AI and cloud revolution for businesses globally.
As an embedded builder, you will bridge the gap between cutting-edge AI products and their real-world application in production environments. You will be a hands-on engineer with a founder's mindset, responsible for coding, debugging, and deploying bespoke agentic solutions directly within customer environments. Your work will involve solving complex integration, data readiness, and state-management challenges.
You will collaborate closely with Google's engineering experts, acting as an innovator and builder. You will provide high-touch deployment of sophisticated AI systems and contribute valuable feedback to shape the future roadmap of Google Cloud products.
Responsibilities
- Develop complex AI applications, transforming rapid prototypes into production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that deliver measurable return on investment.
- Architect and code the integration layer between Google's AI products and customer 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 strict requirements for accuracy, safety, and latency.
- Identify recurring patterns and challenges in the field, translating them into reusable modules or formal product feature requests for Engineering teams.
- Collaborate with customer engineering teams to implement Google-grade development best practices, ensuring long-term project success and high end-user adoption.