Generative AI Specialist, Blackbelt, Google Cloud

2 Months ago • 9 Years + • Artificial Intelligence

Job Summary

Job Description

As a Generative AI Specialist, you will work with Product Development and Technical Sales teams as a subject matter expert, bringing Google Cloud AI products to customers and partners. You'll help customers understand Google AI, explain technical features, design architectures, build AI-powered applications, and solve technical roadblocks. This role involves leveraging Google Cloud's Generative AI services, including LLMs and specialized ML hardware (TPU). Responsibilities include identifying business opportunities, addressing customer objections, managing technical relationships, creating demos and proof-of-concept work, and collaborating with product management. You'll also recommend integration strategies and support developers and enterprises in leveraging Google's Generative Language APIs. Travel to customer sites and conferences is required.
Must have:
  • Bachelor's degree in CS or equivalent
  • 9+ years experience as technical solution architect in cloud computing
  • Experience with LLMs, Open Source, Big Data, ML, numerical programming
  • Experience with AI products, technologies, and infrastructure
  • Work with sales and product teams
  • Provide AI expertise to customers
Good to have:
  • Master's degree in CS or related field
  • Experience building AI/ML solutions and using MLOps frameworks (e.g., Kubeflow)
  • Experience with deep learning, LSTM, etc.
  • Experience architecting scalable, distributed systems
  • Understanding of AI models, LLMs, and AI infrastructure
  • Understanding of responsible AI practices

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 9 years of experience as a technical solution architect in a cloud computing environment or a customer-facing role.
  • Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
  • Experience with AI products, technologies, and infrastructure.

Preferred qualifications:

  • Master's degree in Computer Science, or a related technical field.
  • Experience with building AI and machine learning solutions, Machine Learning Operation frameworks (e.g., Kubeflow), and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
  • Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
  • Understanding of AI Models, Large Language Models, and AI specialized infrastructure as it relates to AI trends and issues within businesses.
  • Understanding of responsible AI practice.
  • Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.

About the job

Our products are engineered for security, reliability and scalability, running the full-stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customer developers, small and large businesses, educational institutions and government agencies. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees, and partners.

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Sales teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explain technical features, help customers design architectures, build AI powered applications, and problem-solve any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models (LLM) and specialized Machine Learning (ML) hardware developed by Google (Tensor Processing Unit).

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

  • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  • Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud.
  • Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
  • Travel to customer sites, conferences, and other related events as needed.

Similar Jobs

Bounteous - Senior Data Scientist

Bounteous

New York, New York, United States (On-Site)
3 Months ago
Scale AI - Machine Learning Engineer, International Public Sector

Scale AI

United Kingdom (On-Site)
3 Months ago
Meta - Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Meta

Pittsburgh, Pennsylvania, United States (On-Site)
3 Months ago
Coursera - Senior Machine Learning Scientist

Coursera

India (Remote)
1 Month ago
Patterned Learning Career - Junior Android/iOS Developer  - Remote Job, 1+ Year Experience

Patterned Learning Career

(Remote)
1 Month ago
Oracle - Applied Scientist 4

Oracle

Hyderabad, Telangana, India (On-Site)
3 Months ago
Microsoft - Applied Scientist: Microsoft AI Development Acceleration Program, Cambridge

Microsoft

Cambridge, Massachusetts, United States (On-Site)
1 Month ago
Microsoft - Research Intern - AI-Driven System Design and Optimization

Microsoft

Redmond, Washington, United States (On-Site)
1 Month ago
Xsolla - Principal AI Engineer

Xsolla

Maryland, United States (On-Site)
5 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

S&P Global - Lead Data Scientist

S&P Global

Hyderabad, Telangana, India (On-Site)
3 Months ago
Samsung Semiconductor - Senior Engineer, AI

Samsung Semiconductor

San Jose, California, United States (Hybrid)
3 Months ago
Trek - AI Scientist (Embedded Applications)

Trek

Waterloo, Wisconsin, United States (On-Site)
2 Months ago
Zscaler - Senior Applied Scientist / Data Scientist (ML & LLM)

Zscaler

Bengaluru, Karnataka, India (Hybrid)
4 Months ago
ByteDance - Senior Site Reliability Engineer, AI Applications

ByteDance

San Jose, California, United States (On-Site)
2 Months ago
Ajmera Infotech - Engineering Lead

Ajmera Infotech

Ahmedabad, Gujarat, India (On-Site)
2 Months ago
Rackspace Technology - Senior MLOPs Engineer (Canada)

Rackspace Technology

Toronto, Ontario, Canada (Remote)
3 Months ago
ByteDance - Software Researcher/Engineer - Applied Research Center (Infrastructure+AI)

ByteDance

Seattle, Washington, United States (On-Site)
3 Months ago
Twitch - Applied Scientist - Safety ML

Twitch

San Francisco, California, United States (On-Site)
1 Month ago
Google - Research Intern, PhD, Summer 2025

Google

Mountain View, California, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Worldwide

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Artificial Intelligence Jobs

Xsolla - Principal AI Engineer

Xsolla

Raleigh, North Carolina, United States (On-Site)
8 Months ago
AI Fund - Senior Backend Engineer

AI Fund

Taipei City, Taiwan (Hybrid)
3 Months ago
ByteDance - Research Scientist- Foundation Model, Generative AI

ByteDance

Seattle, Washington, United States (On-Site)
3 Months ago
Google - Software Engineer III, Computer Vision, Pixel Camera

Google

New Taipei, New Taipei City, Taiwan (On-Site)
1 Month ago
Canva - Senior Machine Learning Engineer - Canva UK

Canva

London, England, United Kingdom (Remote)
2 Months ago
Google - Software Engineer III, Machine Learning, Google Ads

Google

Bengaluru, Karnataka, India (On-Site)
3 Months ago
ByteDance - Research Scientist- Foundation Model, Video Generation

ByteDance

San Jose, California, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Hyderabad, Telangana, India (On-Site)

New Taipei, New Taipei City, Taiwan (On-Site)

New York, New York, United States (On-Site)

Dublin, County Dublin, Ireland (On-Site)

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia (On-Site)

Mountain View, California, United States (On-Site)

View All Jobs

Get notified when new jobs are added by Google

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug