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AI Deployment Engineer, gTech

Google

AI Deployment Engineer, gTech

Google

·

On-site

·

Full-time

·

1mo ago

Compensation

$123,000 - $176,000

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Flexible PTO policy

Learning and development stipend

Wellness benefits

Required Skills

Airflow

Apache Spark

SQL

About the job

In g Tech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).

As a Technical Architect on the g Tech Users and Products (gUP) Tools Authorable Workflow team, you will be a part of the next big bet for Google customer care, collaborating with various sets of cross-functional stakeholders across engineering, product, and design teams to compose, deploy, and test automated workflows, unblock Application Programming Interface (API) integrations, and architect in-house tooling and reporting solutions.

Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Work on the deployment of the Help Guide across gUP products by building plans and tools. Collaborate to transform static workflow designs into dynamic, interactive experiences that resolve issues for the users.

  • Provide guidance on technical and architectural aspects of the AI orchestration from conceptual phase to delivery, removing any technical impediments to ensure successful launch.

  • Ensure quality output while keeping business stakeholders and leadership informed. Contribute and improve best practices around deploying AI agents to increase efficiency and reusability, optimizing maintenance and delivery of the agentic experiences.

  • Optimize live agentic solutions. Develop a comprehension of g Tech's internal tool and advocate for bug fixes and enhancements, working with the product engineering team to test new features and help on-board and implement features.

  • Leverage Google Cloud Platform CES and Dialogflow tools to deploy AI support experiences.

Minimum qualifications

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

  • 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).

  • 3 years of experience in application or system development.

  • Experience managing executive stakeholders and project management.

Preferred qualifications

  • Master’s degree in Engineering, Computer Science, Business, or a related field.

  • 3 years of experience in databases, data analysis, and scripting using SQL/MySQL.

  • Experience with Google Cloud Platform, conversational agents (Dialogflow CX), and deploying AI agents.

  • Excellent communication skills with a track record of managing multiple stakeholders and workstreams.

  • Excellent problem-solving approach and investigative skills combined with a sense of ownership and a proactive can-do attitude.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

63,375 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total / year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense