Customer Engineer, Applied AI, Google Cloud

4 weeks ago

Singapore GOOGLE ASIA PACIFIC PTE. LTD. Full time
Roles & Responsibilities

Product area

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.

Job description

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.

Additional job description

In this role, you will be a trusted advisor, guiding customers on their cloud journey and showing them how Google Cloud's Artificial Intelligence (AI/ML) tools can help them achieve their business goals.


QualificationsJob responsibilities
  • Work with customers to understand their business needs and translate them into AI/ML solutions on Google Cloud.
  • Design and deploy AI/ML solutions, leverage your expertise in Google Cloud's products and services (e.g., Customer Engagement Suite like Cloud Contact Center AI (CCAI), Dialogflow, Agent Builder, Agent Assist, Insights AI).
  • Develop and deliver proofs-of-concept, demos, and technical workshops to showcase the power of Google Cloud AI/ML.
  • Act as a leader and trusted advisor, guide customers on quality for AI/ML implementation and optimization.
  • Travel to customer sites, conferences, and other related events as needed, acting as a public advocate for Google Cloud.
Minimum qualifications
  • 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.
  • 4 years of experience with conversational Artificial Intelligence (AI) technology.
  • Experience in building Artificial Intelligence Solutions or Machine Learning (ML) Application programming interfaces (APIs) and developing applications with AI methods or frameworks.
Preferred qualifications
  • Experience in Customer Engagement Suite Architect with Google Dialogflow CX.
  • Experience in development and deployment of conversational AI Dialogflow CX models including intents, entities, and integrations in a Google Cloud Platform (GCP) environment.
  • Experience in Implementing and optimizing features like context management, entity recognition, and multi-turn conversations.
  • Experience with Contact center/Interactive Voice Routing/Response (IVR) Architecture.
  • Ability to write custom Information-Retrieval workflows or Retrieval augmented generation code using common Orchestration frameworks.
  • Excellent communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Tell employers what skills you have

Machine Learning
Customerfacing
Architect
Mathematics
Customer Engagement
Google Cloud Platform
Artificial Intelligence
Advocate
Google Cloud
Presentation Skills
Consulting
Orchestration
Professional Services

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