Practice Customer Engineer, Applied AI, Google Public Sector

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 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 both technical stakeholders and executive leadership.
  
• 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. 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 engage 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 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.

The US base salary range for this full-time position is $127,000-$184,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.