Fellow, Core AI Foundations

The Core team builds the technical foundation behind Google's flagship products, acting as owners and advocates for the essential building blocks - developer platforms, infrastructure, and product components that drive the pace of innovation for every Google developer.

Core AI Foundations organization’s mission is to accelerate and scale Google’s ability to deliver products in the AI era. By unifying scale with relentless innovation, AI Foundations organization is charted to ensure our systems are faster, safer, reliable and efficient. It aims to deliver at the edge of what is possible, meeting today’s demands while engineering the foundations for tomorrow.

The AI era is fundamentally shifting how software is conceived, authored, and operated. As Fellow for Agentic Development, you will serve as the technical authority guiding the evolution of next-generation developer workflows and autonomous engineering systems across Google.

Reporting directly to the General Manager of Core AI Foundations, this role anchors the technical strategy bridging Google’s internal infrastructure with our external enterprise ecosystem (e.g. Google Cloud). You will define how foundation models, autonomous agents, and deterministic tooling converge to eliminate friction in end-to-end developer journeys—redefining developer velocity, system reliability, and software intelligence at global scale.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

US: $550,000 (USD) + 80% bonus target + equity + benefits

Learn more about benefits at Google .

Minimum qualifications:

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

- 20 years of engineering and technical leadership experience within technology-driven enterprises delivering software, distributed systems, or developer infrastructure.

- Experience operating as a direct technical individual contributor (IC), steering system architecture, writing/reviewing foundational designs, and driving code ecosystems.

- Experience with executive partnership, collaborating with Technical Fellows, Vice Presidents, and cross-functional senior executives across multiple organizational and business-unit boundaries.

Preferred qualifications:

- Master's degree or PhD in a relevant field (e.g., Computer Science, Artificial Intelligence, or Business Administration), demonstrating deeper expertise.

- Experience architecting developer workflows, compiler chains, CI/CD automation, or monorepository build fabrics comparable to Google’s internal scale and public cloud environments (e.g., Google or other large public cloud).

- Recognized authority in generative AI, large language models (LLMs), multi-agent orchestration, context engineering, tool/function calling, and autonomous software development environments.

- Formulate and advocate for the overarching technical strategy for agentic developer platforms, establishing the paradigm for how autonomous agents safely augment, refactor, test, and deploy code across both internal monorepository environments and commercial cloud infrastructures.

- Steer the architectural convergence of core developer ecosystems with Google Cloud developer tooling, ensuring seamless, enterprise-grade interoperability and robust security boundaries.

- Partner closely with the executive leadership, Core engineering, Google Deepmind, and Cloud product teams to align multi-quarter roadmaps, de-risk complex technical dependencies, and set design standards across global teams.

- Cultivate engineering talent, fostering an environment of technical aptitude, ambitious experimentation, and principled architecture across principal and distinguished engineering cohorts.