Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 7 years of experience in a customer-facing or partner-facing technical role, engaging with enterprise clients or partners on cloud solutions.
- Experience architecting, deploying, and operating enterprise software in cloud environments.
- Experience in developing and deploying Generative AI solutions.
- Experience in Machine Learning and Generative AI concepts, technologies (e.g., large language models, Vertex AI), and their practical applications.
- Experience with cloud solutions architecture, including concepts related to infrastructure, networking, storage, and load balancing on Google Cloud or other cloud providers.
Preferred qualifications:
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As an AI/ML Technical Solutions Consultant, you will work directly with Google’s customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform.
You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise.
You possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. To be successful, you know how to navigate ambiguity, you are a technical expert in your field, and you can deliver customer success. You will have excellent client-facing communication and project management skills.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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
- Win new business with Global Strategic Initiatives/System Integrators (GSI/SI) partners to drive growth in Google Cloud AI Solutions.
- Help GSIs build, launch, and scale AI solutions and agents using Gemini Code Assist and our Agent Framework, and get their solutions listed on the Google Cloud Marketplace.
- Engage with GSI/SI partners to boost AI adoption through technical sessions and collaborations. Use their feedback to shape the Google Cloud AI roadmap and support AI Agent hackathons for new business opportunities.
- Serve as a Google Cloud technical expert, guide GSI/SI partners to build Gen AI and Vertex AI solutions that are scalable, secure, and follow best practices.
- Help Systems Integrators (SIs) deploy and manage large-scale Generative AI projects by training and certifying them to be experts in our Gen AI products, including Agentspace.