Engineering Manager, AI Agent Architecture for Google Cloud Business Platforms

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

As an Engineering Manager, you will lead the architecture and development of EGI Foundry (Enterprise AI Platforms and Agent Architecture), our platform for building, composing, and operationalizing enterprise intelligence applications (adapting modern AI platform paradigms to Google's enterprise scale). You will design deep ontology to model enterprise workflows, documents, and data entities, enabling agents to reason over complex enterprise contexts with high fidelity.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead the technical strategy and execution for developing innovative vertical solutions leveraging Generative AI, Large Language Models (LLMs), and Agent-based systems.
• Stay abreast of the latest advancements in AI/ML, particularly in GenAI, and guide the team in adopting new tools, techniques, and best practices.
• Architect and design robust, scalable, and secure AI-driven applications for enterprise use cases.
  
• Manage and mentor a team of Software Engineers, fostering their growth and development.
• Collaborate closely with product managers, researchers, and other stakeholders to define product roadmaps and translate business requirements into technical solutions.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
  
• 2 years of experience leading technical teams in AI/ML, agentic orchestration, or large-scale enterprise platforms.
• Experience with HITL workflows, rater feedback loops, automated evaluation/auto-raters, or model distillation pipelines.
• Experience with Google Cloud Platform technologies.

In most instances, this position requires in-person interviews as part of the hiring process