Senior Agent Engineer, Google Cloud, Applied AI

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with one or more of the following: Speech/audio (e.g.,

technology duplicating and responding to the human voice), reinforcement

learning (e.g., sequential decision making), ML infrastructure, or

specialization in another ML field.

• 5 years of experience with ML design and ML infrastructure (e.g., model

deployment, model evaluation, data processing, debugging, fine tuning).

• Experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision

Models) and with text, image, video, or audio generation.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 8 years of experience with data structures and algorithms.
• Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
• Experience in prompt development, model evaluation, and the creative

application of Artificial Intelligence (AI).

• Ability to be flexible and resilient in dynamic environments where priorities

often shift and to take ownership and respond to urgent business or customer

issues.

ABOUT THE JOB:

As a Senior Applied AI Agent Developer, you will be at the forefront of applying

Google's Generative AI to solve real-world challenges for our most strategic

customers. You will act as a specialized software developer embedded with key

accounts, working direct to build, deploy, and optimize sophisticated AI agents

on our platform. This is a high-impact role that bridges the gap between our

core product development teams and complex customer needs, directly accelerating

customer success and shaping the future of our AI products.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Partner directly with select, strategic customers to understand their

business challenges. Design, co-develop, debug, and deploy custom

conversational AI agents and solutions to accelerate their time to value.

• Act as a high-level problem solver, empowered to write bespoke code, develop

custom tooling, and even contribute directly to the core product codebase to

resolve critical customer issues.

• Systematize your learnings from customer engagements by creating reusable

tools, building documentation and accelerators, and establishing best

practices that can be used across the organization.

• Serve as a critical feedback loop to our core product and development teams.

Synthesize insights from the field to influence product strategy and identify

feature gaps.

• Act as a subject matter expert, providing technical guidance and best

practices to customers on agent improvement, performance tuning, CI/CD

pipelines, and production readiness.