Manager, Agent Engineer, Applied AI

Google•Kirkland, WA

12h•$262,000 - $364,000

About The Position

The Manager, Agent Engineer, Applied AI leads engineers and provides technical leadership for major projects. This role manages project goals, contributes to product strategy, and develops the team. It oversees engineers across teams and locations, a large product budget, and deployment of large-scale projects across multiple international sites. Applied AI builds large-scale conversational agents for real-world enterprise use cases, including customer service and food ordering. In this role, the manager works as a specialized software development manager embedded with key accounts to build, deploy, and optimize sophisticated AI agents on Google's Customer Engagement Suite platform. The role applies Google's Generative AI to customer challenges and works with Gemini Enterprise and related customer experience products to deliver rapidly deployed solutions and new capabilities.

Requirements

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
Experience with Python or similar coding languages.
Experience developing and deploying agentic solutions using tools, multi-agent workflows, and RAG systems.
Experience managing customer projects and resources.
Experience in people management, supervision, or team leadership.

Nice To Haves

Master’s degree or PhD in AI, Computer Science, or related technical fields.
8 years of experience managing software development, agent development, or similar technical customer-facing teams in a cloud computing environment.
Experience designing end-to-end secure, observable multi-agent systems using design patterns such as ReAct and self-reflection, state management, and tool-calling protocols.
Experience designing intuitive interfaces for AI and agentic systems, prioritizing context development, transparency, and explainability to foster user trust.
Experience architecting AI solutions within infrastructures while ensuring data sovereignty and secure governance.
Experience conducting discovery interviews to identify business problems and translating complex hardware and AI constraints for C-suites and technical teams.

Responsibilities

Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate development excellence across the team.
Partner with sales and technical leadership to define requirements for high-value opportunities and deploy specialized customer-experience agentic-systems experts to key accounts.
Lead technical hiring for Applied AI Agent Development, evaluating AI agent expertise, systems development, and coding skills.
Identify skill gaps in emerging technologies, including MCP, tool-calling, and foundation models, and ensure the team maintains subject matter expertise.
Collaborate with product and development teams to resolve blockers, translate field insights into roadmaps, and build internal tools to improve organizational efficiency.
Manage engineers across multiple teams and locations, project goals, product strategy, and team development.