At a Glance
- Tasks: Partner with enterprise clients to create innovative AI-powered applications.
- Company: Leading AI solutions company in Greater London with a focus on collaboration.
- Benefits: Competitive salary, generous PTO, and comprehensive medical insurance.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in SaaS solutions architecture and strong API knowledge.
- Other info: Enjoy a hybrid work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI solutions company seeks a customer AI architect in Greater London. This role involves partnering with enterprise clients to develop AI-powered applications, leveraging extensive technical expertise in a hybrid work environment.
The ideal candidate should have over 5 years of experience in SaaS, particularly in solutions architecture, and possess a strong understanding of APIs and communication skills.
The position offers a competitive salary, generous PTO, and compelling benefits including medical insurance.
Enterprise AI Solutions Architect - Customer-Facing employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Solutions Architect - Customer-Facing
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and SaaS space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your previous projects and successes in solutions architecture. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI applications and SaaS. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.
✨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 Enterprise AI Solutions Architect - Customer-Facing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in SaaS and solutions architecture. We want to see how your skills align with the role, so don’t be shy about showcasing your technical expertise and any relevant projects you've worked on.
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 Enterprise AI Solutions Architect role. Share specific examples of how you've partnered with clients and developed AI-powered applications in the past.
Show Off Your Communication Skills: Since this role involves working closely with enterprise clients, we need to see your communication skills in action. Whether it's in your CV or cover letter, make sure to highlight instances where you've effectively communicated complex ideas to non-technical stakeholders.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to enterprise applications. Be ready to discuss how you've leveraged AI in past projects and how it can benefit potential clients.
✨Showcase Your SaaS Experience
Since the role requires over 5 years of experience in SaaS solutions architecture, prepare specific examples of your previous work. Highlight any successful projects where you designed or implemented SaaS solutions, focusing on the impact they had on the business.
✨Master the Art of Communication
As this position is customer-facing, strong communication skills are a must. Practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly and effectively to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Prepare by thinking through potential challenges you might encounter when working with enterprise clients and how you would address them using your technical expertise.