At a Glance
- Tasks: Design and build innovative AI solutions that drive business success.
- Company: Join a forward-thinking recruitment firm in the heart of Greater London.
- Benefits: Competitive contract rate, flexible working arrangements, and opportunities for skill enhancement.
- Other info: Exciting 6-month contract with potential for future opportunities.
- Why this job: Be at the forefront of AI technology and make a significant impact in the industry.
- Qualifications: 7+ years in enterprise AI architecture with hands-on LLM expertise.
The predicted salary is between 80000 - 120000 € per year.
Queen Square Recruitment is seeking an AI Architect & Developer for a 6-month contract in Greater London. This role involves building end-to-end AI features and designing secure, scalable AI solutions aligning with business goals.
The ideal candidate will have:
- 7+ years of experience in enterprise AI architecture
- Strong hands-on LLM skills
- Knowledge of RAG patterns and GCP
Nice to have skills include ML frameworks like PyTorch and TensorFlow.
Enterprise AI Architect & GenAI Developer in London employer: Queen Square Recruitment
At Queen Square Recruitment, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of Greater London. Our dynamic work culture encourages continuous learning and professional growth, offering employees the chance to work on cutting-edge AI projects while enjoying a supportive environment that values creativity and diversity. With competitive benefits and a commitment to employee well-being, we provide a unique opportunity for talented individuals to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Architect & GenAI Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for an Enterprise AI Architect.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best AI projects, especially those involving LLMs and GCP. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common AI architecture questions and case studies. Practice explaining your thought process when designing scalable solutions, as this is key for roles like the one at Queen Square Recruitment.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about landing that Enterprise AI Architect gig!
We think you need these skills to ace Enterprise AI Architect & GenAI Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in enterprise AI architecture and showcases your hands-on LLM skills. We want to see how your background aligns with the role, so don’t be shy about including relevant projects!
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 Architect & Developer role. Share specific examples of how you've designed secure, scalable AI solutions that align with business goals.
Showcase Your Technical Skills:Don’t forget to mention your knowledge of RAG patterns and GCP in your application. If you’ve worked with ML frameworks like PyTorch or TensorFlow, make sure to highlight those experiences too. We love seeing candidates who are technically savvy!
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 follow the prompts and you’ll be all set!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your AI Inside Out
Make sure you brush up on your enterprise AI architecture knowledge. Be ready to discuss your experience with LLMs and how you've implemented them in past projects. Highlight specific examples where you've designed scalable AI solutions that align with business goals.
✨Showcase Your Hands-On Skills
Since this role requires strong hands-on skills, prepare to demonstrate your expertise with tools like GCP, PyTorch, and TensorFlow. Bring along any relevant projects or code samples that showcase your abilities, as practical examples can really set you apart.
✨Understand RAG Patterns
Familiarise yourself with Retrieval-Augmented Generation (RAG) patterns, as they are crucial for this position. Be prepared to explain how you've used these patterns in your work and how they can enhance AI solutions in a business context.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company's AI strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
