AI Customer Engineer, National Security, Google Public Sector

Socket.dev; Reston (VA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Cloud is seeking an AI Specialist Customer Engineer for the federal public sector to differentiate Google Cloud to customers and partners. You will develop creative cloud solutions, engage in proofs‑of‑concepts, and troubleshoot technical questions, collaborating with technical Sales teams to address customer requirements.

You will position and provide Google's AI/ML capabilities into air‑gapped environments, working with internal teams and government customers to accelerate digital

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of cloud native architecture in a customer-facing or support role.
• Experience designing, developing, and deploying solutions that leverage or integrate generative AI.
• Active TS/SCI security clearance with Polygraph.

Responsibilities

• Collaborate with the team to identify and qualify business opportunities and resolve technical blockers.
• Share enterprise infrastructure modernization expertise to support the technical relationship with customers, including bid responses and proof-of-concept work.
• Leverage Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Advise on assessments of legacy environments and provide prioritization roadmaps for modernization.
• Recommend integration strategies and architectures to implement solutions on Google Cloud.

Skills

Cloud-native architecture

Customer-facing experience

Generative AI integration

TS/SCI with Polygraph

Government/customer experience

Programming & systems design

Education

Bachelor's degree or equivalent

Job description

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 in designing, developing, and deploying solutions that leverage or integrate generative AI.
• Experience in, or supporting the National Security customers.
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
• Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with Polygraph.

Preferred qualifications:

• Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.
• Experience managing the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).
• Experience building long‑term technical strategies to uncover new workloads with customers.
• Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, and penetration testing).
• Experience prospecting, and building and maintaining customer relationships from scratch, with excitement for building Greenfield territories in government accounts.

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 address 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 AI Specialist Customer Engineer in the federal public sector space, you will partner with technical Sales teams to differentiate Google Cloud to customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs‑of‑concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.

In this role, you will be a generative AI expert, working internally with Google teams and externally with customers on how position, provide, and produce Google's foundational AI/ML capabilities into air‑gapped environments. 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. 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.

Responsibilities:

• Collaborate with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in‑depth enterprise infrastructure modernization expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof‑of‑concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Leverage Google Cloud products directly to demonstrate and prototype integrations in customer and partner environments.
• Guide customers through assessments of existing legacy application environments and provide recommendations on a prioritization roadmap for infrastructure and application modernization.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.