Cloud Consultant II, AI/ML, Cloud
Listed on 2026-01-13
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Scientist
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
.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. 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 develop, deploy, and manage custom AI solutions in production using Google Cloud technologies, providing technical project management, consulting, and technical aptitude to customer engagements while working with client executives and key technical leaders.
Minimum Qualifications- 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 of the following technologies:
Tensor Flow, Spark ML, CNTK, Torch, Caffe, Scikit‑Learn. - Excellent communication, presentation and problem‑solving skills.
- Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.
- Propose solutions and manage the deployment of cloud‑based machine learning solutions according to complex customer requirements and implementation best practices.
- Work with internal specialists, Product, and Development teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
- Travel up to 30% of the time for client engagements.
The US base salary range for this full‑time position is $147,000–$216,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location, and within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Salary& Benefits (Canada)
The Canada base salary range for this full‑time position is CAD 158,000–162,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location, and within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits.
EqualEmployment Opportunity Statement
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).