Customer Engineer, Applied AI, Google Cloud

Google Cloud delivers enterprise-grade solutions leveraging cutting-edge technology, helping organizations digitally transform across 200+ countries.
$150,000 - $250,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud

Description For Customer Engineer, Applied AI, Google Cloud

Google Cloud is seeking a Customer Engineer specializing in Applied AI to join their Professional Services team. This role combines deep technical expertise in AI/ML with customer-facing responsibilities, making it perfect for experienced professionals who want to impact businesses globally. As a trusted advisor, you'll help organizations leverage Google Cloud's cutting-edge AI technologies, particularly focusing on conversational AI and machine learning solutions.

The position requires a seasoned professional with 10 years of cloud architecture experience and strong expertise in AI/ML technologies. You'll work directly with customers to understand their needs and translate them into practical AI solutions using Google Cloud's comprehensive suite of tools, including Cloud Contact Center AI, Dialogflow, and Agent Builder.

This role offers the opportunity to work with Google's world-class technology while helping shape the future of businesses across various industries. You'll be responsible for designing and implementing AI solutions, delivering technical workshops, and serving as a thought leader in the AI/ML space. The position involves working with Google's innovative team in a rapidly growing business segment, offering exposure to cutting-edge technology and complex business challenges.

The ideal candidate will combine technical expertise with excellent communication skills, as you'll need to explain complex technical concepts to diverse audiences. This role offers the chance to work with Google's global network, web-scale data centers, and sophisticated software infrastructure while helping businesses transform their operations through AI technology.

Working at Google means joining a company committed to diversity, equity, and inclusion, with comprehensive benefits and the opportunity to impact businesses worldwide through technology. If you're passionate about AI/ML and want to help organizations leverage these technologies effectively, this role offers an exciting opportunity to work with industry-leading technology while making a significant impact.

Last updated a day ago

Responsibilities For Customer Engineer, Applied AI, Google Cloud

  • Work with customers to understand their business needs and translate them into AI/ML solutions on Google Cloud
  • Design and deploy AI/ML solutions using Google Cloud's products and services
  • Develop and deliver proofs-of-concept, demos, and technical workshops
  • Act as a leader and trusted advisor for AI/ML implementation and optimization
  • Travel to customer sites, conferences, and other events as needed

Requirements For Customer Engineer, Applied AI, Google Cloud

Python
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 10 years of experience with cloud native architecture in a customer-facing or support role
  • 4 years of experience with conversational Artificial Intelligence (AI) technology
  • Experience in building Artificial Intelligence Solutions or Machine Learning APIs
  • Experience in Customer Engagement Suite Architect with Google Dialogflow CX
  • Experience in development and deployment of conversational AI Dialogflow CX models
  • Experience with Contact center/IVR Architecture
  • Excellent communication and presentation skills

Benefits For Customer Engineer, Applied AI, Google Cloud

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • Comprehensive medical coverage
  • Vision care
  • Dental care
  • Parental leave benefits

Interested in this job?

Jobs Related To Google Customer Engineer, Applied AI, Google Cloud

Managing Director, AI GTM Field Solutions Architect

Lead Google Cloud's AI GTM Field Solutions Architecture, managing global teams and driving AI/ML technology implementation for enterprise clients.

Customer Engineer, Applied AI, Google Cloud

Lead AI/ML solutions implementation as a Customer Engineer at Google Cloud, guiding enterprises in their digital transformation journey.

Principal Engineer, Cloud ML Compute Systems

Principal Engineer role at Google Cloud focusing on optimizing ML model performance and hardware acceleration.

Senior Staff Research Scientist

Senior Staff Research Scientist position at Google Research, focusing on machine learning and AI development with competitive compensation and opportunity to shape future technologies.

Product Manager, TPU

Product Manager position at Google focusing on TPU Machine Learning infrastructure, requiring 10+ years of experience in product management and expertise in data centers and hardware.