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- Tasks: Design and deliver enterprise-grade AI systems using Generative AI and LLMs.
- Company: Leading tech firm in London with a focus on innovative AI solutions.
- Benefits: Competitive salary, bonuses, and flexible working arrangements.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Join a high-impact role and shape the future of AI technology.
- Qualifications: Experience in AI architecture and strong problem-solving skills.
The predicted salary is between 80000 - 95000 £ per year.
Location: London (2 days onsite a week)
Salary: £80,000 - £95,000 + bonus + benefits
Build and scale real-world AI not just proofs of concept.
We’re hiring a Senior AI Architect / GenAI Architect to design and deliver enterprise-grade AI systems across Generative AI, LLMs, and Agentic workflows. This is a high-impact, client-facing role focused on taking AI solutions to the next level.
Digital Technology Architect in London employer: Charles Simon Associates Ltd
Contact Detail:
Charles Simon Associates Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Technology Architect in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to Generative AI and LLMs. We want to see your real-world applications, not just theory – make it pop!
✨Tip Number 3
Prepare for interviews by practising common questions specific to AI architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take that extra step!
We think you need these skills to ace Digital Technology Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI, LLMs, and Agentic workflows. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've built or scaled AI systems. We’re looking for real-world applications, not just theoretical knowledge, so share those success stories with us!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Charles Simon Associates Ltd
✨Know Your AI Inside Out
Make sure you’re well-versed in Generative AI, LLMs, and Agentic workflows. Brush up on recent advancements and be ready to discuss how they can be applied in real-world scenarios. This shows your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex AI challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Understand the Company’s Vision
Research the company’s current projects and future goals related to AI. Tailor your responses to align with their vision, demonstrating that you’re not just a fit for the role but also for the company culture and objectives.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their approach to scaling AI systems or how they measure success in AI projects. This not only helps you gauge if it’s the right fit but also leaves a positive impression.