Customer Engineer II, Applied AI, Google Cloud

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$134,000 - $198,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS · Cloud

Description For Customer Engineer II, Applied AI, Google Cloud

Google Cloud is seeking a Customer Engineer II specializing in Applied AI to join their North America Tech Team (NATT). This role combines technical expertise with customer-facing responsibilities, focusing on accelerating Google Cloud customer success through domain-specific technical knowledge. The position requires a strong background in cloud native architecture and conversational AI technology, with the ability to engage effectively with technical stakeholders and executive leaders.

As a Customer Engineer II, you'll work at the intersection of artificial intelligence and customer solutions, helping organizations understand and implement Google Cloud's AI capabilities. You'll be responsible for demonstrating the business value of Google Cloud Applied AI solutions, designing architectures, and supporting technical relationships with customers. The role involves collaborating with technical Sales teams as an Applied AI subject matter expert to differentiate Google Cloud in the market.

The position offers a competitive compensation package ranging from $134,000 to $198,000, plus bonus, equity, and benefits. You'll be part of a diverse team working in an environment of respect and inclusion, with opportunities to travel to customer sites and conferences. The role requires 6 years of experience with cloud native architecture and 2 years of experience with conversational AI technology, making it ideal for professionals looking to combine their technical expertise with customer engagement in the rapidly evolving field of applied AI.

This opportunity allows you to work with cutting-edge AI technologies, including ML APIs, Machine Learning templates, RAG, and Large Language Models, while helping shape the future of enterprise cloud solutions. You'll be instrumental in helping customers modernize their applications and leverage Google's first-party Generative AI solutions for customer experience applications.

Last updated a day ago

Responsibilities For Customer Engineer II, Applied AI, Google Cloud

  • Help prospective customers understand Google Cloud, explain technical features, help design architectures, and problem-solve roadblocks
  • Share AI expertise to support technical relationship with customers
  • Demonstrate business value of Google Cloud Applied AI solutions
  • Recommend integration strategies, enterprise architectures, and infrastructure
  • Travel to customer sites, conferences, and other related events as needed

Requirements For Customer Engineer II, Applied AI, Google Cloud

Java
Python
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 6 years of experience with cloud native architecture in a customer-facing or support role
  • 2 years of experience with conversational AI technology
  • Experience building or leveraging Artificial Intelligence Solutions or ML APIs
  • Experience with development methodologies and modernizing legacy applications
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders

Benefits For Customer Engineer II, Applied AI, Google Cloud

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • bonus
  • equity
  • benefits

Interested in this job?

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

Machine Learning Engineer

Machine Learning Engineer role at Apple, focusing on developing ML solutions for the Apple Online Store, including search, recommendations, and personalization systems.

Software Engineer

Software Engineer role at Microsoft focusing on Azure Machine Learning infrastructure and large-scale AI model serving.

Field Service AI Solution Architect

Field Service AI Solution Architect position at Salesforce, focusing on implementing AI solutions for field service operations with 3+ years of experience required.

Deep Learning Engineer, Datacenters

Deep Learning Engineer position at NVIDIA focusing on datacenter optimization, AI infrastructure, and performance analysis for large-scale machine learning systems.

Applied Machine Learning Engineer

Applied Machine Learning Engineer position at Design Pickle, focusing on AI-driven applications and data solutions for creative services.