Lead Customer Engineer, Generative AI, Public Sector

SuprAIJobs; Reston (VA); On-site; USD 181,000 - 257,000; Full time

Job summary

Google Public Sector seeks a Generative AI Customer Engineering Lead in Reston, VA. You will lead the Generative AI platform community within GPS Customer Engineering, drive knowledge sharing, and collaborate with field teams to turn market trends into solutions.

Travel to customer sites and events as needed. You will partner with Product Engineering and Technical Sales to bring Google Cloud AI products to customers, explain features, design architectures, and support successful deployments for

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in technical consultant, pre-sales engineer, enterprise architect, or customer-facing role.
• Experience building AI/ML solutions leveraging LLMs, Open Source, Big Data, AI infrastructure, MLOps.
• Experience presenting to technical stakeholders and executives.

Responsibilities

• Partner with Product Engineering and Technical Sales to bring Google Cloud AI products to customers.
• Empower customers to harness Google AI by explaining features, designing architectures, building AI applications, and resolving roadblocks.
• Identify and qualify business opportunities, understand objections, and develop strategies to resolve blockers.
• Foster strong technical relationships with customers, including delivering briefings, demos, PoC, and collaborating with product management to prioritize solutions driving adoption.
• Lead meetings with field teams to identify market trends and develop innovative solutions with GPS teams for alignment.

Skills

Technical leadership

Customer-facing

Architectural design

Executive communication

Education

Bachelor's degree

Master's degree in CS or related field

Job description

Job Description

Minimum qualifications:

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Lead Customer Engineer, Generative AI, Public Sector

Google

• $181K-$257K
• Full time
• Reston, VA, USA
• On-site

Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a technical consultant, technical pre-sales engineer, enterprise architect, or in a customer-facing role.
• Experience with building AI and machine learning solutions leveraging LLMs, Open Source, Big Data, AI specialized infrastructure, Machine Learning Operations frameworks.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred Qualifications:

• Master's degree in Computer Science or other technical field.
• 5 years of experience serving in the capacity of a Solution Architect in a cloud computing environment or equivalent experience in a customer-facing role.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Ability to build influential relationships and work in a cross-functional or matrixed environment.

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.

The GPS Generative AI Customer Engineering Lead will play a pivotal role in the development of Generative AI business in the Google Public Sector. You will be responsible for leading the community of practice for the Generative AI platform within the GPS Customer Engineering Organization, fostering knowledge sharing and technical excellence. Additionally, the lead will regularly engage with field teams to identify emerging market trends and develop innovative solutions, while collaborating closely with broader GPS teams to ensure seamless integration and alignment with overall business objectives. You will travel to customer sites, conferences, and other related events as required.

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 $181,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Partner with Product Engineering and Technical Sales teams as an Generative Artificial Intelligence (AI) subject matter expert to bring Google Cloud AI products to customers.
• Empower customers and partners to harness Google AI by explaining technical features, designing architectures, building AI applications, and resolving roadblocks.
• Identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Leverage AI expertise to foster strong technical relationships with Google's customers, including delivering briefings, creating demos, conducting proof-of-concept work, and collaborating with product management to prioritize solutions driving Google Cloud adoption; recommend optimal integration strategies, architectures, platforms, and infrastructure for successful implementation on Google Cloud.
• Lead meetings with field teams to identify emerging market trends and develop innovative solutions, while collaborating closely with broader GPS teams to ensure alignment with strategic goals.