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- Tasks: Connect industry architects with development teams to deliver innovative AI solutions.
- Company: Join PwC UK, a leader in professional services and technology.
- Benefits: Enjoy flexible work arrangements and a comprehensive benefits package.
- Other info: Be part of a collaborative team with opportunities for growth and impact.
- Why this job: Shape the future of AI while bridging tech and sales in a dynamic environment.
- Qualifications: Experience in software solutions, Large Language Models, AWS, Azure, and machine learning.
The predicted salary is between 70000 - 90000 £ per year.
PwC UK is seeking an experienced AI Solution Engineer to connect industry architects with development capabilities. This role delivers AI solutions and supports the sales process by bridging technical teams and salespeople.
The ideal candidate will have:
- Extensive experience in shaping software solutions for enterprise customers
- Expertise in Large Language Models
- Practical experience with AWS and Azure
- A solid understanding of machine learning concepts
Flexible work arrangements and a range of benefits are included.
AI Solutions Architect & Sales Enablement Lead employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect & Sales Enablement Lead
✨Tip Number 1
Network like a pro! Reach out to industry professionals 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
Showcase your skills! Create a portfolio or a personal website where you can display your AI projects and solutions. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and sales enablement. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 proactive about their job search.
We think you need these skills to ace AI Solutions Architect & Sales Enablement Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI solutions and software development. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Large Language Models and cloud platforms like AWS and Azure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the AI Solutions Architect & Sales Enablement Lead role. Share specific examples of how you've bridged the gap between technical teams and salespeople in the past.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex challenges in AI or machine learning. We love seeing how you approach problems and come up with innovative solutions that benefit enterprise customers.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at PwC UK
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI solutions, especially Large Language Models. Be ready to discuss how you've shaped software solutions for enterprise customers in the past. This will show that you not only understand the technology but can also apply it effectively.
✨Bridge the Gap
Since this role involves connecting technical teams with salespeople, prepare examples of how you've successfully facilitated communication between these groups. Think about specific instances where your input made a difference in the sales process or project delivery.
✨Get Familiar with AWS and Azure
As the job requires practical experience with AWS and Azure, make sure you can talk confidently about your experiences with these platforms. Highlight any projects you've worked on that utilised these services, and be prepared to discuss the benefits and challenges you faced.
✨Showcase Your Machine Learning Knowledge
Have a solid understanding of machine learning concepts and be ready to explain them in simple terms. This will demonstrate your ability to communicate complex ideas clearly, which is crucial for this role. Consider preparing a few examples of how you've applied machine learning in real-world scenarios.