About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Computer Science, Mathematics, a related technical

field, or equivalent practical experience.

* 10 years of experience with designing cloud-native enterprise-grade technical

architecture in customer-facing or support roles.

* 1 year of experience with Conversational AI technologies, including designing

conversational flows/agents and operating Speech-to-Text, Text-to-Speech

(STT/TTS).

* Experience building or leveraging AI solutions, ML APIs, prompting, agent

tooling, eval frameworks, and modern AI frameworks, and embedding into demos.

* Experience engaging with and presenting to both technical stakeholders and

executive leadership.

PREFERRED QUALIFICATIONS:

* Experience with building conversational applications and integrating it with

third-party tooling (e.g., CRM, ticketing, telephony platforms).

* Experience coding in Java, C++, or Python and vibe coding.

* Familiarity with large language models (LLMs), retrieval-augmented generation

(RAG), machine learning templates, and document/image AI.

* Understanding of modern development methodologies and application performance

tuning.

ABOUT THE JOB:

When leading companies choose Google Cloud, it's a huge win for spreading the

power of cloud computing globally. Once educational institutions, government

agencies, and other businesses sign on to use Google Cloud products, you come in

to facilitate making their work more productive, mobile, and collaborative. You

listen and deliver what is most helpful for the customer. You assist fellow

sales Googlers by problem-solving key technical issues for our customers. You

liaise with the product marketing management and engineering teams to stay on

top of industry trends and devise enhancements to Google Cloud products.

As an Applied AI Customer Engineer, you will accelerate Google Cloud’s success

by providing technical expertise in Conversational Artificial Intelligence and

customer experience.

In this role, you will

bridge the gap between business
issues and highly technical Generative AI solutions. You will partner with Sales
teams on high-stakes engagements as a subject matter expert to differentiate
Google Cloud, and will be the lead architect for advanced Conversational AI
frameworks to design resilient and scalable AI solutions. You will help
customers design architectures and solve customer experience issues using
first-party Generative AI solutions. You will be a technical expert and a
thought leader who will help enterprises navigate Conversational Artificial
Intelligence and customer experience from proof-of-concept to production.
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.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $174000 - $252000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Serve as a trusted advisor to prospective and existing customers, explaining
technical features and designing cloud-based architectures.
* Provide technical guidance on integrating AI solutions with existing
enterprise data stacks and third-party stacks such as CRM, etc.
* Lead the rapid development of Proof-of-Concepts (PoCs) and Minimum Viable
Products (MVPs), demonstrating the practical application of Google Cloud
solutions, troubleshoot technical roadblocks, and recommend integration
strategies for end-to-end Google Cloud solutions.
* Collaborate with product management to prioritize solutions that drive
customer adoption and share in-depth AI expertise through product briefings
and technology advocacy.
* Present the business value of Applied AI solutions to executive leaders and
represent Google Cloud at conferences and industry events.

Which skills does this role require?

Cloud ArchitectureConversational AIC++Technical ArchitectureProof-of-Concept DevelopmentStakeholder ManagementAPI IntegrationSpeech-to-TextText-to-SpeechArchitectureProof-of-ConceptMVPEnterprise ArchitectureCloud-nativeTechnical AdvocacyData StacksScalable SolutionsProduct ManagementGCP

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