Practice Customer Engineer, Cloud AI

Comprehensive Benefits Package (US-based Employees)

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA, San Francisco, CA, USA.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting or RAG.
• Experience with machine learning model development or deployment.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience using programming languages (e.g., Python, JavaScript/TypeScript) to demo, prototype, or workshop with customers.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
• Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Experience learning and working with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Jax, Ray), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), or using machine learning APIs.

About The Job

As a Practice Customer Engineer, Cloud AI at Google, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert accelerating technical wins and adoption of specialized workloads. Your expertise in our product areas, in partnership with Platform CEs, will involve writing code to develop prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve AI-centered customer issues and provide critical feedback to influence product development.

You will utilize excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively presenting practical and useful solutions on Google Cloud. This role blends business expertise, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Responsibilities

• Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
• Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Compensation

The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Key skills/competency

• Cloud AI
• Customer Engagement
• Technical Solutions
• Machine Learning
• Prototyping
• Cloud Architecture
• API Integration
• Python
• Deep Learning Frameworks
• Technical Sales