Manager, Agent Engineer, Applied AI

About the role

MINIMUM QUALIFICATIONS:

• 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 in Python or similar coding languages.

• Experience developing and deploying agentic solutions utilizing tools,

multi-agent workflows and RAG systems.

• Experience managing customer projects, and in resource management.
• Experience in a people management, supervision/team leadership role.

PREFERRED QUALIFICATIONS:

• 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 (ReAct, 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, ensuring data

sovereignty and secure governance.

• Experience performing discovery interviews to identify business problems and

translate complex hardware/AI constraints for C-suites and technical teams.

ABOUT THE JOB:

Like Google's own ambitions, the work of a Software Engineer goes beyond just

Search. Software Engineering Managers have not only the technical expertise to

take on and provide technical leadership to major projects, but also manage a

team of Engineers. You not only optimize your own code but make sure Engineers

are able to optimize theirs. As a Software Engineering Manager you manage your

project goals, contribute to product strategy and help develop your team. Teams

work all across the company, in areas such as information retrieval, artificial

intelligence, natural language processing, distributed computing, large-scale

system design, networking, security, data compression, user interface design;

the list goes on and is growing every day. Operating with scale and speed, our

exceptional software engineers are just getting started -- and as a manager, you

guide the way.

With technical and leadership expertise, you manage engineers across multiple

teams and locations, a large product budget and oversee the deployment of

large-scale projects across multiple sites internationally.

Applied AI builds conversational agents deployed at a large-scale that achieve

very meaningful results in the real world. Some examples include the customer

agent built for large call center environments, to fast food ordering managed by

our Food AI agent. The team is transforming how enterprises connect with

customers through the power of AI.

In this role, you will be at the forefront of applying Google's Generative AI to

solve real-world challenges for our customers. You will act as a specialized

software development manager embedded with key accounts, working to build,

deploy, and optimize sophisticated AI agents on our Customer Engagement Suite

(CES) platform.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our

portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX

Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience

Insights), along with other vertical and domain packaged solutions. We enable

high adoption and speed to value by building solutions that are quickly

deployed, delivering new 0-to-1 capabilities with startup agility. Team members

operate at the forefront of AI, collaborating directly with model builders with

unprecedented speed. Join us to work on cutting-edge projects and shape the

future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 tech leadership to define requirements for high-value

opportunities, deploying specialized experts (agentic systems in customer

experience) to key accounts.

• Lead technical hiring for Applied AI Agent Development, evaluating AI Agent

expertise, systems development, and coding skills to build an exceptional

development team.

• Identify skill gaps in emerging tech (MCP, tool-calling, and foundation

models), ensuring the team maintains subject matter expertise in an evolving

AI stack.

• Collaborate with product and development to resolve blockers and translate

field insights into roadmaps while building internal tools to drive

organizational efficiency.