At a Glance
- Tasks: Join Google Cloud as a Generative AI Specialist and shape the future of AI technology.
- Company: Be part of Google Cloud, a leader in innovative cloud solutions.
- Benefits: Enjoy competitive salary, health benefits, 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 businesses leverage cutting-edge AI technologies.
- Qualifications: Bachelor's degree in Computer Science and experience with AI and cloud computing.
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 in London 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 AI and machine learning, all while working in a supportive environment that values creativity and diversity. Located in a vibrant tech hub, employees benefit from access to industry-leading resources and the chance to make a meaningful impact on businesses worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Specialist, Blackbelt, Google Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to generative AI. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Generative AI Specialist, Blackbelt, Google Cloud in London
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 application for this specific role. Mention how your experience as a Solution Architect or with AI products can benefit our team at Google Cloud. We love seeing candidates who take the time to connect their skills to what we do!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your qualifications and experiences shine through 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. We can’t wait to see what you bring to the table!
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 ready to explain 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 prepared to discuss the importance of responsible AI and how it impacts business decisions. Highlight any experience you have with ethical AI practices and how you can help customers navigate these considerations while leveraging AI technologies.