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- Tasks: Lead AI solutions design and implementation, transforming business challenges into technical architectures.
- Company: Fast-growing AI company in Greater London with a focus on innovation.
- Benefits: Autonomy in projects, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the AI field while leading talented engineers.
- Qualifications: Strong background in solution delivery and technical consulting required.
- Other info: Join a dynamic team and influence meaningful AI systems.
The predicted salary is between 54000 - 84000 £ per year.
A high-growth AI company in Greater London is seeking a Lead AI Solutions Engineer to drive solution design and implementation. The role involves collaborating with clients to transform business challenges into structured technical architectures and leading engineers through complex delivery processes.
Ideal candidates will have a strong background in solution delivery and technical consulting, with a focus on clarity and execution. This position offers significant autonomy and influence over project outcomes in meaningful AI systems.
Senior AI Solutions Architect and Delivery Lead employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Architect and Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to people in the AI industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your previous projects and solutions you've designed. This will give potential employers a clear view of your skills and how you can transform their business challenges into technical architectures.
✨Tip Number 3
Prepare for interviews by practising common questions related to solution delivery and technical consulting. Be ready to discuss specific examples where you've led teams through complex processes and achieved successful outcomes.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Senior AI Solutions Architect and Delivery Lead
Some tips for your application 🫡
Showcase Your Experience: When applying, make sure to highlight your background in solution delivery and technical consulting. We want to see how you've tackled complex challenges and led teams to success, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for clarity and execution in your application, so align your skills and experiences with what we’ve outlined in the job description.
Be Authentic: Let your personality shine through! We value authenticity, so don’t be afraid to express your passion for AI and how you can contribute to our mission. A genuine touch can make your application stand out.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at DeepRec.ai
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI. Be prepared to discuss how you've applied these in past projects, especially in solution design and implementation. This will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
Since this role involves leading engineers through complex delivery processes, be ready to share specific examples of how you've successfully led teams in the past. Highlight your approach to collaboration and how you ensure clarity and execution in your projects.
✨Understand the Client's Perspective
Research the company and its clients before the interview. Think about potential business challenges they might face and how your solutions could address them. This will demonstrate your ability to transform challenges into structured technical architectures.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask during the interview. Focus on the company's vision for AI solutions and how they measure project success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
