About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

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

architecture in customer-facing or support roles.

* 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, technical stakeholders and

executive leaders.

* Ability to obtain a Secret security clearance.

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 a Practice Customer Engineer for Applied AI, 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 innovative architectures and solve customer
experience issues using first-party Generative AI solutions. You are both a
technical expert and a thought leader who will help enterprises navigate
Conversational Artificial Intelligence and customer experience from
proof-of-concept to production.

In this role, you will

have excellent organizational, communication, and
presentation skills, engaging with customers to understand their business and
technical requirements, and persuasively present practical and useful solutions
on Google Cloud. You will blend sales expertise, market knowledge, and technical
engagement to prove the value of the Google Cloud portfolio.
Google Public Sector
[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]
brings the magic of Google to the mission of government and education with
solutions purpose-built for enterprises. We focus on helping United States
public sector institutions accelerate their digital transformations, and we
continue to make significant investments and grow our team to meet the complex
needs of local, state and federal government and educational institutions.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Build partner specific, go-to-market solutions to reduce business cycles and
drive partner business as measured through pipeline and business growth.
* Own the technical relationship with partners, empowering them to drive a
successful pilot or proof of concept, support partners drive toward customer
acceptance of the technical proposal, leading to an agreement, and work with
partners during the migration phase to assure they have all the tools
necessary to deliver a successful deployment.
* Build trusted advisory relationships and make recommendations on integration
strategies, enterprise architectures, platforms, and application
infrastructure required to successfully implement a complete solution
providing best practice advice to customers to optimize Google Cloud
effectiveness.

Which skills does this role require?

Cloud-native architectureConversational AISpeech-to-textText-to-speechPromptingAgent toolingEvaluation frameworksC++Technical architectureStakeholder managementCloud-nativeEnterprise-gradeDocument AIApplication performance tuningPublic sectorDigital transformationArchitectureTechnical advisoryGo-to-marketSecurity clearanceGCP

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