Senior Applied AI Agent Engineer — Equity & Bonus

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

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.