At a Glance
- Tasks: Support cloud sales by optimising AI solutions for diverse clients.
- Company: Leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join the AI revolution and make a real difference in the tech landscape.
- Qualifications: Bachelor's in Computer Science and experience in AI/ML and Python.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech company seeks a skilled Generative AI Field Solutions Architect to support cloud sales with AI technology. The role demands a Bachelor's degree in Computer Science and extensive experience in AI/ML, Python, and technical presentations. You will work collaboratively to optimize AI solutions for large enterprises and startups. Candidates should be passionate about AI advancements and capable of engaging with clients. This position offers the chance to lead customers in the AI revolution.
Generative AI Field Solutions Architect in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Field Solutions Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AI projects. We want to see how you’ve tackled real-world problems with your expertise in Python and AI/ML.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your AI knowledge and presentation skills. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see passionate candidates who are ready to lead the AI revolution!
We think you need these skills to ace Generative AI Field Solutions Architect in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how passionate you are about the advancements in this field and how you can contribute to our mission.
Highlight Relevant Experience: Make sure to showcase your experience with AI/ML and Python. We’re looking for someone who can hit the ground running, so include specific examples of your past work that demonstrate your skills.
Tailor Your Technical Presentations: Since this role involves technical presentations, it’s a good idea to mention any relevant experiences you have in this area. We love seeing how you’ve engaged clients and communicated complex ideas effectively.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to lead customers in the AI revolution.
How to prepare for a job interview at Google
✨Know Your AI Stuff
Make sure you brush up on the latest trends and advancements in AI and ML. Be ready to discuss specific projects you've worked on, especially those involving Python. This shows your passion and expertise in the field.
✨Technical Presentation Practice
Since the role involves technical presentations, practice explaining complex AI concepts in simple terms. You might be asked to present a solution during the interview, so being clear and engaging is key!
✨Collaborative Mindset
This position requires working closely with clients and teams. Prepare examples of how you've successfully collaborated in the past, particularly in optimising AI solutions for different types of businesses.
✨Engage with Enthusiasm
Show your excitement about the AI revolution! Be prepared to discuss how you envision the future of AI and how you can help clients navigate this landscape. Your enthusiasm can set you apart from other candidates.