Senior Technical Solutions Consultant, Cloud Risk AI
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Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 5 years of experience in solution engineering and 3 years of experience in stakeholder management, professional services, or technical consulting.
- 3 years of experience in system architecture and reading code (e.g., Python).
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or related technical fields.
- Experience with machine learning with a focus on application.
- Experience with the financial services industry in regulatory compliance.
- Experience with technical consulting in a customer-facing role working with a variety of different types of customers, engineers, and businesses.
- Experience with cloud platform development (e.g., Google Cloud Platform or similar).
- Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Google Cloud Risk AI is an entrepreneurial team building platforms to support use cases like the detection of financial crime. The team's goal is to build products that elevate the speed and effectiveness with which a financial institution can identify criminal activity, leading to a better protection of the financial system and overall society.
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
- Provide data-driven management.
- Collaborate cross-functionally with Google Cloud AI teams (e.g., product, engineering, sales, professional services, learning, etc.).
- Solve customer use cases using Cloud AI conversational products to drive broad customer adoption, create reusable assets (e.g., code, toolkits, training), and deliver training for new product features or solutions for customers, partners, and field teams.
- Discuss functional, technical, and basic commercial topics with customer stakeholders (e.g., developers, line managers) and empathize, shape, and influence them.
- Work with customer stakeholders as a trusted advisor and provide guidance on solution decisions.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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