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.
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, 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 (GTM) team.
Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
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 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 and RAG.
Experience with machine learning model development and deployment.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience using programming languages to design demos, prototypes, or workshops for customers.
Preferred qualifications
Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLMs, Diffusion, and Multimodal Models).
Experience developing and deploying Generative AI applications, with a focus on implementing RAG pipelines, integrating vector databases, and orchestrating LLM interactions via APIs.
Experience in the hospitality, travel, power, manufacturing or energy industry.
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Bachelor’s degree or equivalent practical experience.
10 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 and RAG.
Experience with machine learning model development and deployment.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience using programming languages to design demos, prototypes, or workshops for customers.
