Cloud Consultant II, AI​/ML, Google Cloud

This posting is for a new vacancy. The application window will be open until at least January 15, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Austin, TX, USA;
Toronto, ON, Canada;
Atlanta, GA, USA;
Boulder, CO, USA;
Chicago, IL, USA.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience project managing and delivering technical solutions.
• Experience in one or more discipline areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.
• Experience with technical client service (e.g., consulting).

• Experience in systems design with the ability to explain data analytics pipelines and data flows.
• Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
• Experience designing and deploying with one or more from the following technologies such as Tensor Flow, Spark ML, CNTK, Torch, Caffe, Scikit‑Learn.
• Excellent communication, presentation and problem solving skills.

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 Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers 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.

In this role, you possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. You will know how to navigate ambiguity and deliver customer success. You 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.

For US applicants
:

The US base salary range for this full‑time position is $147,000-$216,000 + 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 .

For Canada applicants
:

The Canada base salary range for this full‑time position is CAD ,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…