Senior Agent Engineer, Google Cloud, Applied AI

Google; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off: 20 days/year

Sick time: 40 hours/year (69 inSeattle

Maternity leave: 28-30 weeks

Holidays: 13 days/year

Equity

Job summary

Google is seeking a Senior Applied AI Agent Developer in the United States. You will embed with strategic accounts to design, deploy, and optimize advanced AI agents on our platform, bridging core product development and customer needs.

You will advance AI solutions using Gemini Enterprise, Vertex AI, and other Google Cloud tools while collaborating with model builders to deliver high-impact work for key customers.

Qualifications

• Bachelor’s degree required or equivalent practical experience.
• 5 years of experience in one or more ML areas: speech/audio, reinforcement learning, ML infrastructure, or related field.
• 5 years in ML design/infrastructure: deployment, evaluation, data processing, debugging, fine tuning.
• Familiarity with GenAI concepts and modalities (text, image, video, audio).

Responsibilities

• Partner with strategic customers to design, co-develop, debug, and deploy custom AI agents.
• Write bespoke code and tooling; contribute to core product when needed.
• Create reusable tools, documentation, and accelerators from field learnings.
• Provide feedback to product teams; influence roadmap and feature gaps.
• Advise customers on agent improvement, performance tuning, and production readiness.

Skills

Speech/Audio

Reinforcement learning

ML infrastructure

GenAI concepts

Text/Image/Video generation

Education

Bachelor's degree or equivalent

Master's or PhD in a technical field

Tools

Vertex AI

BigQuery

Cloud Storage

Dialogflow

Job description

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

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

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .