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AI Solutions Deployment Lead, Applied AI, Google Cloud

Google

AI Solutions Deployment Lead, Applied AI, Google Cloud

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Flexible PTO policy

Learning and development stipend

Remote work flexibility

Required Skills

Python

Airflow

SQL

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a AI Solutions Deployment Lead for all EMEA and APAC deployments, you are a high-visibility team multiplier responsible for turning the promise of agentic AI into production reality for Google’s most strategic global customers. You sit at the nexus of product, engineering, and the customer, translating complex business friction into elegant, reasoning-based AI solutions.

In this leadership role, you will serve as the primary Directly Responsible Individual (DRI) for delivery of agentic solutions, leading a group of deployment specialists to implement best practices for delivering at scale and velocity. You will maintain a pulse on the entire portfolio, ensuring you know exactly where the team stands regarding every deployment at any given point. You are a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be leading a group of deployment specialists while simultaneously incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Serve as the primary DRI and central authority for the deployment portfolio across EMEA and APAC, maintaining a real-time pulse on project health for executive leadership.

  • Manage and mentor a group of deployment specialists, implementing standardized delivery frameworks to ensure high-fidelity, production-grade leadership across industry verticals.

  • Advocate foundational architectural frameworks such as agent and pioneer advanced techniques like prompting and cyclic reasoning loops to accelerate time-to-value.

  • Design and implement evaluation pipelines, utilizing gold datasets and automated judge Large Language Model (LLM) frameworks to benchmark latency, accuracy, and brand fidelity.

  • Author and scale technical assets, including architectural patterns, prompt engineering guides, and reusable internal tools to transform bespoke solutions into repeatable global motions.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience in customer-facing technical roles (e.g., solutions architect, forward deployed engineer, or principal consultant).

  • Experience in one or more discipline areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.

  • Experience in Large Language Models (LLMs), prompt engineering, and conversational AI frameworks.

Preferred qualifications

  • Experience in a statistical programming language like R or Python and applied machine learning techniques.

  • Experience with conversational AI frameworks (e.g., langchain, agent development kit) and enterprise contact center technologies (e.g., genesys, twilio).

  • Experience with multi-agent architectures and the nuances of cyclic reasoning loops.

  • Proficiency in a major programming language (e.g., Python, Java, or Go).

  • Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).

  • Ability to lead cross-functional teams and influence executive stakeholders in organizations.

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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