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- Tasks: Lead the design and delivery of innovative AI solutions for enterprise clients.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Performance-related bonuses and clear career progression in a growing AI practice.
- Other info: Dynamic role with opportunities to work on cutting-edge AI programmes.
- Why this job: Shape the future of AI while mentoring teams and driving best practices.
- Qualifications: Strong experience in AI solutions and hands-on Microsoft technologies.
The predicted salary is between 80000 - 100000 £ per year.
We’re looking for an experienced AI Architect to play a key role in shaping and delivering next-generation Agentic AI solutions for enterprise clients. This is a senior, hands-on architecture role combining technical leadership, solution design, and client engagement. You’ll work at the forefront of AI innovation, helping define how agentic systems are designed, built, and scaled using modern cloud and Microsoft technologies. You’ll also contribute to the growth of a high-performing AI community — setting standards, mentoring teams, and driving best practice across complex programmes.
What You’ll Be Doing
- Leading the end-to-end architecture and delivery of complex AI and Agentic AI solutions
- Shaping client requirements and defining scalable, enterprise-grade solution designs
- Designing and delivering solutions using modern Microsoft AI technologies
- Providing hands-on technical leadership across design, build, integration, and deployment
- Ensuring solutions meet enterprise standards across security, governance, and scalability
- Acting as a trusted advisor to senior client stakeholders
- Supporting pre-sales and bid activity, including solution shaping and technical input
- Mentoring architects and engineers, helping grow internal AI capability
- Contributing to best practices, reusable assets, and AI architecture standards
What We’re Looking For
- Strong experience designing and delivering AI / GenAI / Agentic AI solutions
- Hands-on experience with Microsoft AI technologies (e.g. Copilot Studio or similar)
- Proven track record of architecting large, complex enterprise solutions
- Experience working in client-facing consulting or professional services environments
- Ability to operate across strategy, architecture, and hands-on delivery
- Strong stakeholder management skills, including engagement with senior audiences
Nice to Have
- Experience with Azure AI services (e.g. Azure OpenAI, Functions, Logic Apps, API Management)
- Exposure to Power Platform integration patterns
- Understanding of enterprise security, governance, and responsible AI frameworks
- Experience mentoring and developing technical teams
What’s on Offer
- Performance-related bonus
- Opportunity to work on cutting-edge AI and GenAI programmes
- Clear career progression within a growing AI practice
AI Architect in London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Microsoft technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with AI solutions and how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Architect role. Highlight your experience with Microsoft AI technologies and any relevant projects you've led. We want to see how your skills align with what we're looking for!
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 your experience makes you the perfect fit for our team. Don’t forget to mention your hands-on leadership style and client engagement skills.
Showcase Your Projects: If you've worked on any complex AI solutions, make sure to showcase them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to design and deliver scalable solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at ANSON MCCADE
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and Agentic AI solutions. Be ready to discuss specific projects you've worked on, especially those involving Microsoft technologies like Copilot Studio. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led teams in the past. Talk about mentoring experiences or how you've driven best practices in previous roles. This will demonstrate your ability to guide others and contribute to a high-performing AI community.
✨Engage with Stakeholders
Be prepared to discuss how you've managed client relationships and engaged with senior stakeholders. Think of specific instances where you shaped client requirements or provided strategic advice. This will highlight your consulting skills and ability to operate at a senior level.
✨Understand the Bigger Picture
Familiarise yourself with enterprise security, governance, and responsible AI frameworks. Be ready to discuss how these elements play a role in your solution designs. This shows that you understand the importance of compliance and can deliver scalable, secure solutions.