Google · 10 hours ago
Practice Customer Engineer I, Cloud AI, Google Cloud
Seattle, WA
Full-time
Onsite
Mid Level
$102K/yr - $146K/yr
4+ years expGoogle is a leading technology company, and they are seeking a Practice Customer Engineer I specializing in Cloud AI. In this role, you will partner with technical sales teams to drive the adoption of Google Cloud solutions and provide technical expertise to customers, focusing on AI-centered customer issues and product development feedback.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Drive the technical win for complex workloads within Cloud AI to ensure successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Provide deep 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
Qualification
Required
Bachelor's degree or equivalent practical experience
4 years of experience with cloud native architecture in industry or a customer-facing or support role
Experience engaging with, and presenting to, technical stakeholders and executive leaders
Experience with machine learning model development and deployment
Experience using programming languages (e.g., Python, JavaScript/TypeScript) to demo, prototype, or workshop with customers
Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating large language models into autonomous workflows using advanced API prompting and Retrieval-Augmented Generation (RAG)
Preferred
Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks)
Experience in architecting and developing software or infrastructure for scalable, distributed systems
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), or using machine learning APIs
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space
Benefits
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
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
Small Business Trends
2026-01-24
2026-01-24
Search Engine Journal
2026-01-24
Company data provided by crunchbase