At a Glance
- Tasks: Design and govern Azure AI architectures for secure and scalable solutions.
- Company: Leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Active Security Check clearance required; excellent career advancement opportunities.
- Why this job: Shape the future of AI while collaborating with top talent in a dynamic environment.
- Qualifications: 15 years IT experience with 5 years in Azure; strong communication and stakeholder management skills.
The predicted salary is between 80000 - 100000 £ per year.
15 years of IT experience currently hands-on with a minimum of 5 years of experience on Azure having technically guided, managed, and governed the team.
Role Purpose: Define and govern the right Azure AI architecture, ensuring solutions are secure, scalable, compliant, and aligned to business outcomes.
Core Responsibilities:
- Translate business requirements into Azure-native AI solution architectures.
- Design end-to-end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity.
- Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches).
- Ensure alignment with Azure best practices, security standards, compliance, and governance.
- Select and validate AI Factory accelerators for suitability and architectural fit.
- Review and approve technical designs before and during execution.
- Guide AI Engineers on design intent, trade-offs, and constraints.
- Own architectural decision-making and resolve design-level risks and blockers.
- Review solution readiness for UAT and production handover.
- Support customer technical discussions and build architecture confidence.
This role requires the candidate who is already holding active Security Check (SC) clearance in accordance with UK Government standards.
Primary skills:
- Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions.
- Experience in architecting, designing, and implementing solutions on-premises, in the cloud, and using hybrid models.
- Hands-on experience in deploying a variety of generative models.
- In-depth experience in fine-tuning and customizing pretrained AI models with a good understanding of various patterns and practices in AI data engineering and large data processing.
- Develop and deliver upskilling sessions to the customer.
- Python and PySpark.
Secondary Skills:
- MLOps and LLMOps.
Certifications: Good to Have
- Microsoft Certified Solutions Architect Expert AZ303 AZ304.
- Databricks Professional Certificate in Large Language Models.
- Microsoft Certified Azure Solutions Architect Expert.
Soft Skills:
- Good customer connects.
- Prepare solution presentations.
- Positive attitude and excellent communication skills to manage customer calls.
- Excellent problem-solving skills.
- Good communication.
Mandatory Skills: Azure Cloud Architecture.
AI Solution Architect employer: TESTQ Technologies Limited
As an AI Solution Architect at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and creativity, all while working in the vibrant tech hub of the UK. Join us to be part of a forward-thinking team that is shaping the future of AI solutions.
Contact Details:
TESTQ Technologies Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who are already working in Azure or AI roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure AI projects and solutions. This is your chance to demonstrate your hands-on experience and technical prowess, making you stand out in interviews.
✨Tip Number 3
Prepare for the technical grill! Brush up on your knowledge of Azure best practices and architectural patterns. Be ready to discuss how you've tackled design-level risks and guided teams in previous roles.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right role. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to land that dream job!
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 job description. Highlight your Azure experience and any relevant projects you've worked on. 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 the perfect fit for the AI Solution Architect role. Share specific examples of how you've guided teams and tackled complex technical solutions.
Showcase Your Communication Skills:Since this role involves managing stakeholder relationships, make sure to demonstrate your strong communication skills in your application. We love seeing candidates who can clearly articulate their thoughts and ideas!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TESTQ Technologies Limited
✨Know Your Azure Inside Out
Make sure you’re well-versed in Azure AI architecture and its components. Brush up on Azure OpenAI, AI Search, and the various architecture patterns like RAG and hybrid approaches. Being able to discuss these topics confidently will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Communication Skills
Since this role involves managing stakeholder relationships, practice articulating complex technical solutions in a clear and concise manner. Prepare examples from your past experiences where you successfully communicated with non-technical stakeholders or guided teams through architectural decisions.
✨Prepare for Technical Discussions
Anticipate questions about design intent, trade-offs, and constraints. Be ready to discuss how you’ve handled architectural decision-making in previous roles, including any risks or blockers you’ve resolved. This will demonstrate your hands-on experience and problem-solving skills.
✨Bring Your Own Examples
Have a few case studies or projects ready to discuss that highlight your experience with deploying generative models and fine-tuning AI solutions. This not only showcases your technical expertise but also gives you a chance to illustrate your thought process and approach to real-world problems.
