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- Tasks: Architect and scale an AI-native modelling platform for pharmaceutical R&D.
- Company: Leading technology company in the pharmaceutical research sector.
- Benefits: Flexible hybrid working, generous time off, and competitive benefits.
- Why this job: Shape the future of AI in healthcare and make a real difference.
- Qualifications: 5+ years in AI/ML platforms and hands-on LLM framework experience.
- Other info: Join a dynamic team with opportunities for innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
A technology company in pharmaceutical R&D seeks an AI Platform Lead to architect and scale their AI-native modeling platform. In this role, you will define the AI platform roadmap, build infrastructure for LLM features, and translate product needs into actionable AI capabilities.
Candidates must have 5+ years of experience in AI/ML platforms, along with hands-on experience in LLM frameworks.
The position offers flexible hybrid working, generous time off, and competitive benefits.
AI Platform Architect — Lead Scalable LLM Infra (Hybrid) employer: PolyModels Hub Ltd
Contact Detail:
PolyModels Hub Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Architect — Lead Scalable LLM Infra (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This is a great way to demonstrate your hands-on experience with LLM frameworks and make you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Platform Architect roles and practice your responses. We recommend focusing on how you've translated product needs into actionable AI capabilities in your past experiences.
✨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 are proactive about their job search!
We think you need these skills to ace AI Platform Architect — Lead Scalable LLM Infra (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML platforms and LLM frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 AI-native modelling platform. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can translate product needs into actionable AI capabilities, so share your success stories!
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!
How to prepare for a job interview at PolyModels Hub Ltd
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI/ML platforms and LLM frameworks. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Understand the Company’s Needs
Research the technology company and its focus on pharmaceutical R&D. Familiarise yourself with their current AI initiatives and think about how your skills can help them achieve their goals. Tailoring your answers to align with their needs will make a strong impression.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Prepare to explain your approach to architecting scalable AI platforms and how you would translate product needs into actionable capabilities. Practising common technical questions can help you articulate your thought process clearly.
✨Showcase Your Leadership Skills
As a lead role, they’ll be looking for someone who can guide a team. Be prepared to share examples of how you've led projects or teams in the past, particularly in the context of AI/ML. Highlight your ability to communicate complex ideas effectively and inspire others.
