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 pay, flexible working options, and opportunities for professional growth.
- Other info: Must hold active Security Check clearance; great chance to enhance your career.
- Why this job: Shape the future of AI while collaborating with top talent in a dynamic environment.
- Qualifications: Extensive Azure experience and strong communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
6 Months Contract with possible extension. 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 pre-trained 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.
AI Technical Architect employer: LTM
As an AI Technical Architect with us, you'll be part of a forward-thinking team that values innovation and collaboration in the heart of the tech industry. We offer a dynamic work culture that encourages continuous learning and professional growth, alongside competitive benefits tailored to support your well-being. Join us in shaping cutting-edge Azure AI solutions while enjoying the unique advantages of working in a vibrant location that fosters creativity and connectivity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or AI. 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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Azure architecture. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 Technical Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Technical Architect role. 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 this role. Share specific examples of how you've guided teams and tackled complex technical solutions in the past.
Showcase Your Communication Skills:Since strong communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. We love seeing candidates who can manage stakeholder relationships effectively!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at LTM
✨Know Your Azure Inside Out
Make sure you’re well-versed in Azure AI services, especially Azure OpenAI and Azure AI Search. Brush up on the latest features and best practices, as you’ll need to demonstrate your technical expertise and how it aligns with the role's requirements.
✨Showcase Your Architectural Skills
Prepare to discuss your experience in designing end-to-end architectures. Be ready to explain your thought process behind selecting architecture patterns and how you've ensured compliance and security in past projects.
✨Communicate Effectively
Since strong communication skills are crucial, practice articulating complex technical concepts in a way that’s easy to understand. Think about examples where you’ve successfully managed stakeholder relationships and gained consensus on solutions.
✨Prepare for Technical Discussions
Anticipate questions around architectural decision-making and problem-solving. Have examples ready that showcase how you’ve resolved design-level risks and blockers, and be prepared to discuss your approach to guiding AI Engineers.
