Public Sector AI Infra Engineer — Customer Partner

Google LLC; Washington (District of Columbia); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) with company match

Paid Time Off: 20 days

Sick Time: 40 hours/year

Holidays: 13 paid days

Job summary

Google LLC in Reston, VA / Washington, DC seeks a Customer Engineer for AI Infrastructure in the Google Public Sector. You will partner with sales to differentiate Google Cloud, engaging with customers to architect cross-pillar AI infrastructure solutions and drive technical wins.

You will present to leaders, help with model development and deployment, and travel up to 20%. You will work with ML frameworks and hardware accelerators to deliver enterprise-grade AI HPC workloads and build trusted

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of cloud-native architecture experience in a customer-facing or support role.
• Experience engaging with technical stakeholders or executive leaders.
• Experience with ML model development and deployment.
• Active TS/SCI security clearance with polygraph.
• Ability to travel up to 20% of the time.

Responsibilities

• Partner with technical sales teams to differentiate Google Cloud to customers.
• Serve as the primary technical partner and trusted advisor for customers.
• Architect cross-pillar cloud solutions and drive technical wins.
• Present to technical and business leaders and articulate practical solutions.

Skills

Cloud architecture

Customer-facing

Stakeholder presentation

ML model deployment

Education

Bachelor's degree or equivalent

Tools

Kubernetes

PyTorch

TensorFlow

JAX

Job description

Google LLC in Reston, VA / Washington, DC seeks a Customer Engineer for AI Infrastructure in the Google Public Sector. You will partner with sales to differentiate Google Cloud, engaging with customers to architect cross-pillar AI infrastructure solutions and drive technical wins.

You will present to leaders, help with model development and deployment, and travel up to 20%. You will work with ML frameworks and hardware accelerators to deliver enterprise-grade AI HPC workloads and build trusted