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- Tasks: Lead AI projects, define technical vision, and drive innovative solutions.
- Company: Dynamic tech firm in London with a focus on AI advancements.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a forward-thinking team dedicated to responsible AI practices.
- Why this job: Shape the future of AI while collaborating with top industry leaders.
- Qualifications: Proven experience in AI architecture and strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Permanent Hybrid in Central London
Competitive Salary
Key Responsibilities
- Strategic Architectural Leadership
- Define and own the technical vision and architecture for AI solutions across the organization
- Evaluate, select, and standardize AI technologies, frameworks, and third-party services
- Lead technical design reviews and make critical architectural decisions for complex AI initiatives
- Drive technical strategy for responsible AI, model governance, and production ML operations
- Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps
- Influence product and engineering strategy through technical insights and feasibility assessments
- Act as the go-to technical expert for complex AI challenges across engineering teams
- Lead proof-of-concepts for emerging AI technologies and assess their production viability
- Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices
- Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies
- Use AI coding assistants such as Cursor, GitHub Copilot, and Cl...
Lead AI Engineer - Permanent - London/Hybrid employer: Robson Bale Ltd
Contact Detail:
Robson Bale Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - Permanent - London/Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your technical expertise and execution capabilities.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your architectural leadership experience. We suggest practising common AI-related interview questions 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 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 Lead AI Engineer - Permanent - London/Hybrid
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your technical expertise and experience with AI technologies. We want to see how you've tackled complex challenges in the past, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Lead AI Engineer role. Use the job description as a guide and align your experiences with the key responsibilities we’ve outlined. This shows us you’re genuinely interested in the position.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how they fit with our needs.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Robson Bale Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks relevant to the role. Be ready to discuss your experience with LLMs, RAG architectures, and any proof-of-concept projects you've led. This shows you're not just familiar with the tech but can also apply it effectively.
✨Architectural Vision is Key
Prepare to articulate your vision for AI architecture. Think about how you would define and own the technical vision for AI solutions. Be ready to share examples of how you've influenced product and engineering strategy in previous roles.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to lead technical design reviews and make critical architectural decisions. Share specific instances where you've successfully led teams through complex AI challenges and how you partnered with senior leadership to achieve business objectives.
✨Be Ready for Technical Challenges
Expect some technical questions or case studies during the interview. Prepare to tackle complex AI challenges and discuss your approach to implementing responsible AI practices. Highlight your experience with retrieval pipelines and coding assistants like GitHub Copilot to show your hands-on expertise.