Ai Consultant, Cloud Professional Services

**Minimum qualifications**:

- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
- 5 years of experience in technical project management, stakeholder management, professional services, solution engineering or technical consulting, and 1 year of experience in technical leadership.
- 5 years of experience in machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
- 3 years of experience in a customer-facing technical consulting role.
- 1 year of experience in technical troubleshooting and writing code in one or more programming languages.

**Preferred qualifications**:

- MBA or Master's degree in Computer Science or a related Engineering field.
- Experience in a statistical programming language (e.g., 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: TensorFlow, Spark Machine Learning, Torch, Caffe, Scikit-learn.
- Experience in systems design with the ability to architect and explain data analytics pipelines and data flows.
- Excellent communication, presentation, and problem-solving skills.

**About the job**:
As an AI Consultant, you will work directly with customers on critical projects to help them transform their businesses using AI/ML technologies. You will help them 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 via Google’s Cloud Platform. You will also work closely with key Google partners on accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

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.

**Responsibilities**:

- Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of cloud solutions, becoming a trusted advisor to decision makers throughout the engagement.
- Work with internal specialists and Product and Engineering teams to package 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/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
- Propose solution architectures and manage the deployment of cloud-based machine learning solutions according to complex customer requirements and implementation best practices.
- Travel approximately 30% of the time for client engagements.

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.