ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.
Cake AIUtilize our Cake AI-powered products to accelerate job search and talent match.
What Cake R U? ProNewUnlock your workplace personality in 3 minutes and discover your unique strengths!ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.Cake AI Resume CheckerAnalyzes your resume using Cake AI for detailed feedback.- Success StoriesBusiness ExcellenceAbout CakeFeatured Reads
Head of Generative AI Specialist, Blackbelt, Google Cloud
Job Description
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 10 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer-facing role.
- 5 years of experience in leading a team.
- Experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
- Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or related technical fields.
- Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific ML architectures (e.g., deep learning, LSTM, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems and with ML technologies.
- Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
- Understanding of responsible AI practice.
- Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Sales teams as an Generative Artificial Intelligence (AI) subject matter expert to bring Google Cloud AI products to customers and partners.
The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Lead a team of high performing individuals and travel to customer sites, conferences, and other related events as needed.
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
- Support developers, creators, and enterprises to leverage Google’s Generative Language Application programming interfaces (API) so they can build their own AI products in the future.
About us
Google’s mission is to organize the world‘s information and make it universally accessible and useful.
Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.
Team
