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Practice Customer Engineer, Applied AI, Google Public Sector

Google

Practice Customer Engineer, Applied AI, Google Public Sector

Google

·

On-site

·

Full-time

·

1w ago

  • Serve as a trusted advisor to prospective and existing customers, explaining technical features and designing cloud-based architectures.

  • Provide technical guidance on integrating AI solutions with existing enterprise data stacks and third-party stacks such as CRM, etc.

  • Lead the rapid development of Proof-of-Concepts (Po Cs) and Minimum Viable Products (MVPs), demonstrating the practical application of Google Cloud solutions, troubleshoot technical roadblocks, and recommend integration strategies for end-to-end Google Cloud solutions.

  • Collaborate with product management to prioritize solutions that drive customer adoption and share in-depth AI expertise through product briefings and technology advocacy.

  • Present the business value of Applied AI solutions to executive leaders and represent Google Cloud at conferences and industry events.

  • Bachelor's degree or equivalent practical experience.

  • 6 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.

  • Experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text, Text-to-Speech (STT/TTS).

  • Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, evaluation frameworks, and modern AI frameworks, and embedding into demos.

  • Experience working with and presenting to both technical stakeholders and executive leadership.

  • Ability to obtain a Secret security clearance.

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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

57,502 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 per 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