Customer Engineer, Applied AI, Public Sector

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience building or leveraging Artificial Intelligence Solutions or ML APIs and developing applications utilizing AI methods or frameworks.
• Experience with development methodologies, modernizing legacy applications, and application performance profiling and tuning.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders at U.S. Federal agencies.
• Ability to travel up to 30% of the time as required.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
• Experience designing and implementing GenAI based applications, using Agentic design.
• Experience with contact center technologies and platforms and building conversational applications.
• Experience coding in one or more of the following languages: Javascript, Java, Go.
• Experience in Agentic Design, especially Chat and Call Center systems, Agents, Search, and GenAI.
• Active US Government Top Secret security clearance.

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 Engineering Specialist in Google Public Sector, you will leverage your experience and thought leadership to empower sales teams in incubating, piloting, and deploying Google Cloud's industry-leading AI technologies. You will identify and assess AI opportunities, helping customers innovate faster and develop a comprehensive cloud strategy by using our flexible and broad AI portfolio, including the VertexAI and Conversational AI product families. This involves assisting with pilot programs and working closely with internal stakeholders to overcome challenges and influence the evolution of our offerings.

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 $147,000-$218,000 + 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

• Identify and qualify business opportunities and key customer technical issues, developing a strategy to resolve technical issues.
• Recommend and document migration paths, integration strategies, and application architecture needed to implement a complete solution using Google Cloud best practices.
• Assist AI Solutions teams, contributing to solution and use case assets.
• Lead workshops for strategic customers to assess existing application/infrastructure environments and organizational readiness. Identify potential use cases for cloud computing and paths to digital transformation.
• Develop architectural blueprints and demos to help customers understand how our AI services can be used to modernize their workloads. Assist customers to deploy solutions that use Conversational Agents, AI services, VertexAI, and our broader GenAI portfolio.