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- Tasks: Connect industry architects with development teams to deliver innovative AI solutions.
- Company: Join PwC UK, a leader in technology and consulting.
- Benefits: Enjoy flexible work arrangements and a comprehensive benefits package.
- Other info: Great opportunity for career growth in a supportive team.
- 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 80000 - 100000 £ 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 in London 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 in London
✨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 projects and achievements. This is a great way for us to see your expertise in action, especially with AI solutions.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace AI Solutions Architect & Sales Enablement Lead in London
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 technical teams and sales processes in the past.
Showcase Your Technical Skills: Don’t forget to mention your practical experience with machine learning concepts. We love candidates who can demonstrate their technical prowess, so include any relevant projects or achievements that highlight your capabilities.
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 their strengths and weaknesses.
✨Understand Machine Learning Concepts
Brush up on your machine learning fundamentals. Be ready to explain key concepts and how they relate to the AI solutions you’ve developed. This will demonstrate your depth of knowledge and ability to engage with both technical and non-technical stakeholders.