Senior Technical Solutions Consultant, Cloud Risk AI
Job Summary
Job Description
- Bachelor's degree in STEM or equivalent
- 5+ years solution engineering experience
- 3+ years stakeholder management experience
- 3+ years system architecture and coding experience (Python)
- Experience with all phases of ML project delivery
- Experience building AI solutions in cloud environment
- Master's degree in Engineering or Computer Science
- Financial services industry experience
- Cloud platform development experience
- Consulting experience with diverse clients
- Ability to lead design and implementation of AI-based solutions
- Bonus
- Equity
- Benefits
3 skills required
Job Details
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).
- Experience with all phases of a ML project delivery from data collection to production deployment at scale.
- Experience building technical solutions with AI technologies in a cloud environment.
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or related technical field.
- Experience working within the financial services industry.
- Experience in Cloud platform development.
- Experience in consulting, technical consulting in a customer-facing role, with solid results working with a variety of different types of customers, engineers, and business.
- Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions.
About the job
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
The Google Cloud Applied AI team focuses on innovating and developing industry solutions within top industries of cloud, including telecommunication, healthcare, retail, media, entertainment, finance, manufacturing, gaming, and public services. In this role, you will 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 entrepreneurial team in this rapidly growing business, you will help shape the future businesses of all sizes using technology to connect with customers, employees, and partners.
Google Cloud Risk AI within Applied AI is an entrepreneurial team building high-performance, highly-available platforms to support use cases like the detection of financial crime while also looking to bring new products to market.
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 $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 .
Responsibilities
- Apply data-driven management skills and be able to work in a rapidly changing environment.
- Collaborate cross-functionally with Google Cloud AI teams (e.g., product, engineering, sales, professional services, learning, etc.).
- Solve complex 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 closely with customer stakeholders as a trusted advisor and provide expert guidance on critical solution decisions.
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