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- Tasks: Lead AI solution design and translate business challenges into scalable AI solutions.
- Company: Dynamic tech consultancy focused on innovative AI transformations.
- Benefits: Competitive salary, private healthcare, training support, and generous leave.
- Other info: Hybrid working model with opportunities for career progression.
- Why this job: Shape the future of AI while working with cutting-edge technologies and senior stakeholders.
- Qualifications: Senior-level experience in solution architecture and expertise in Microsoft AI ecosystem.
The predicted salary is between 120000 - 120000 £ per year.
Location: North of London, Hertfordshire - Hybrid working with client visits
Salary: Up to £120,000 DOE
Note: Full UK driving licence required
A growing technology consultancy is seeking an AI Solution Architect to act as the technical authority across client engagements. This is a highly client-facing role, working alongside commercial teams during discovery, design and solution shaping, translating business challenges into scalable, enterprise-grade AI solutions.
You will own end-to-end solution design, shape the organisation's AI reference architectures, and ensure solutions are technically robust, commercially viable and aligned to client outcomes.
Key Responsibilities- Act as the technical lead across client discovery workshops and solution design engagements
- Work closely with sales and commercial teams to shape AI-led solutions that address real business challenges
- Translate customer requirements into clear, deliverable architectures
- Own and evolve internal AI reference architecture frameworks
- Design scalable, secure and best-practice solutions across the Microsoft AI, data and automation ecosystem
- Provide technical assurance and credibility to senior client stakeholders
- Balance technical excellence with commercial viability and delivery feasibility
- Support pre-sales activity including proposals, bids and client presentations
- Senior-level experience as a Solution Architect within an MSP, IT services or consultancy environment
- Strong expertise across the Microsoft AI ecosystem, including: Copilot, Copilot Studio, AI Builder, Azure AI
- Experience working with Large Language Models (LLMs) and modern AI architectures, including:
- Designing and deploying LLM-based solutions such as copilots, chatbots and knowledge assistants
- Understanding of prompt engineering, grounding and retrieval-augmented generation (RAG)
- Applying governance, security and ethical considerations in AI deployments
- High-impact, strategic senior role shaping AI capability within a growing consultancy
- Exposure to senior stakeholders and complex transformation programmes
- Opportunity to define and evolve AI reference architectures
- Competitive salary up to £120,000 DOE with long-term progression
- Work with cutting-edge Microsoft and AI technologies
- Training and certification support
- Pension scheme
- Private healthcare
- 25 days annual leave plus bank holidays and birthday leave
AI Solution Architect employer: Set2Recruit
Contact Detail:
Set2Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best work, especially projects related to AI solutions. This is your chance to demonstrate your expertise in Microsoft AI technologies and how you've tackled real business challenges.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI Solution Architecture. Think about how you can translate complex technical concepts into clear business outcomes, just like you would in client engagements.
✨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 the attention it deserves from our hiring team.
We think you need these skills to ace AI Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Solution Architect. Highlight your experience with Microsoft AI technologies and any client-facing roles you've had. 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 you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: In your application, don't shy away from detailing your technical expertise, especially with Large Language Models and the Microsoft ecosystem. We love seeing candidates who can clearly articulate their knowledge and experience in these areas.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at Set2Recruit
✨Know Your AI Stuff
Make sure you brush up on your knowledge of the Microsoft AI ecosystem, especially tools like Copilot and Azure AI. Be ready to discuss how you've designed and deployed LLM-based solutions in the past, as this will show your technical expertise and understanding of the role.
✨Understand the Business Side
Since this role is highly client-facing, it's crucial to demonstrate your ability to translate complex technical concepts into clear business outcomes. Think about examples where you've successfully aligned technical solutions with client needs and be prepared to share these during the interview.
✨Engage with Confidence
Practice your communication skills! You’ll need to engage with senior stakeholders, so being a confident and credible communicator is key. Consider doing mock interviews or presenting your ideas to friends to build your confidence before the big day.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. This could involve anything from designing scalable solutions to applying governance in AI deployments. Highlighting your problem-solving abilities will demonstrate your value as a potential team member.