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- Tasks: Lead innovative AI projects and engage with clients to shape cutting-edge solutions.
- Company: Global AI consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonuses, hybrid working, and comprehensive benefits.
- Why this job: Join a dynamic team and make an impact in the AI landscape across industries.
- Qualifications: Strong background in AI, machine learning, and client-facing experience.
- Other info: Opportunity to mentor and grow within a fast-paced, global environment.
The predicted salary is between 110000 - 125000 £ per year.
A global AI and Data Analytics consultancy is looking to hire a Client Facing R&D Generative AI Architect to join its London team. The role is based in their City of London office, with hybrid working, and offers a base salary of £110,000 to £125,000, plus bonus and benefits. This is a senior, client facing role within an AI Innovation and R&D function, focused on delivering cutting edge Generative AI and Agentic AI solutions across Insurance and Banking clients.
You will work closely with senior stakeholders to identify opportunities, shape solutions and lead the delivery of complex AI programmes, combining deep technical expertise with strong commercial awareness.
Key responsibilities- Engage senior stakeholders to define Generative AI opportunities and use cases
- Lead client workshops and shape AI strategy and roadmaps
- Architect and deliver scalable AI solutions, including LLM and agent-based systems
- Lead end to end delivery of complex AI projects across global teams
- Mentor engineers and data scientists and drive best practice
- Strong background in AI, machine learning or data science
- Deep experience with LLMs and modern GenAI frameworks
- Experience designing AI architectures such as RAG and agent-based systems
- Strong Python and cloud experience across AWS, Azure or GCP
- Proven track record delivering AI solutions in a client facing environment
If you are an experienced Client Facing R&D Generative AI Architect with the required skills, please respond in the first instance with an up-to-date version of your CV for review.
AI Solutions Architect in City of London employer: Mccabe & Barton
Contact Detail:
Mccabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data analytics space. Attend industry events, webinars, or meetups to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in Generative AI. Be ready to discuss how your experience aligns with their needs and how you can add value to their team.
✨Tip Number 3
Showcase your skills! Create a portfolio of your past projects, especially those involving LLMs and agent-based systems. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Solutions Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Solutions Architect role. Highlight your experience with Generative AI and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Client Engagement Skills: Since this is a client-facing role, it's crucial to demonstrate your ability to engage with senior stakeholders. Share examples of how you've successfully led workshops or shaped strategies in previous roles. We love seeing that kind of experience!
Highlight Technical Expertise: Don’t forget to showcase your technical skills! Mention your experience with LLMs, Python, and cloud platforms like AWS, Azure, or GCP. We’re looking for someone who can architect and deliver scalable AI solutions, so make it clear you’ve got the chops.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to see what you bring to the table!
How to prepare for a job interview at Mccabe & Barton
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and generative AI frameworks. Be ready to discuss specific projects you've worked on, especially those involving LLMs and agent-based systems. This will show that you have the deep technical expertise they’re looking for.
✨Engage with Stakeholders
Since this role involves working closely with senior stakeholders, practice how you would engage them in discussions. Prepare examples of how you've previously identified opportunities and shaped solutions in a client-facing environment. This will demonstrate your strong commercial awareness.
✨Showcase Your Leadership Skills
Be prepared to talk about your experience leading complex AI projects and mentoring teams. Think of specific instances where you’ve driven best practices or led workshops. This will highlight your ability to lead end-to-end delivery and mentor others effectively.
✨Familiarise Yourself with Cloud Platforms
Since cloud experience is key, make sure you can discuss your proficiency with AWS, Azure, or GCP. Be ready to explain how you've architected scalable AI solutions using these platforms. This will reinforce your technical capabilities and readiness for the role.