About the role
What will you do at Google?
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.
Which skills does this role require?
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