At a Glance
- Tasks: Join Google Cloud to shape the future of AI and help businesses leverage cutting-edge technology.
- Company: Be part of a leading tech giant transforming industries with innovative cloud solutions.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to work on groundbreaking projects.
- Why this job: Make a real impact by helping customers harness the power of Generative AI.
- Qualifications: Bachelor's in Computer Science or equivalent experience; expertise in AI and cloud technologies.
The predicted salary is between 70000 - 90000 £ per year.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer‑facing role.
- Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
- Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
- Master's degree in Computer Science or a related technical field.
- Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning 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:
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 engineered 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. As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Sales teams as a Generative AI subject matter expert to bring Google Cloud AI products to customers and partners. In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem‑solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.
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 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 directly 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.
- Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
- Travel to customer sites, conferences, and other related events as needed.
Generative AI Specialist, Blackbelt, Google Cloud employer: Google
Google Cloud is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong focus on employee growth, Google provides ample opportunities for professional development in cutting-edge technologies like Generative AI and Machine Learning, all while being part of a globally recognised leader in cloud computing. Located in a vibrant tech hub, employees benefit from a diverse and inclusive environment that encourages creativity and the pursuit of meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Specialist, Blackbelt, Google Cloud
✨Tip Number 1
Network like a pro! Connect with folks in the AI and cloud computing space on LinkedIn or at industry events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, machine learning, and cloud solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions related to AI and cloud technologies, so you’re ready to impress when the time comes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Generative AI Specialist, Blackbelt, Google Cloud
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Large Language Models and cloud computing in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for, especially in AI and machine learning.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and qualifications stand out without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of Generative AI, Large Language Models, and cloud computing. Brush up on your knowledge of machine learning frameworks like Kubeflow and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled technical challenges in previous roles. Think about times when you’ve helped customers overcome obstacles or designed innovative solutions using AI technologies. This will demonstrate your ability to think critically and adapt in a customer-facing role.
✨Understand Google Cloud's Offerings
Familiarise yourself with Google Cloud’s AI products and services. Be prepared to discuss how these can benefit potential customers and how you would approach integrating them into their existing systems. Showing that you understand the product landscape will set you apart.
✨Emphasise Responsible AI Practices
Be ready to discuss the importance of responsible AI and how it impacts businesses today. Highlight any experience you have with ethical AI practices and how you can help customers navigate these issues while leveraging AI technologies effectively.