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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions using cutting-edge technologies.
- Company: Join a forward-thinking organisation transforming services with AI and automation.
- Benefits: Shape high-profile projects, work with Azure AI, and drive real-world impact.
- Why this job: Be at the forefront of AI transformation and influence strategic decision-making.
- Qualifications: Strong experience in AI/ML solutions, Python, C#/.NET, and Azure Cognitive Services.
- Other info: Dynamic role with opportunities for innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Your new company
You will be joining an organisation embarking on an ambitious, forward-thinking programme to introduce Artificial Intelligence and Automation across its key services. The goal is to enhance user experience, streamline processes, and drive operational efficiency through intelligent, scalable digital solutions. This is an opportunity to contribute to meaningful transformation within a complex and high-impact environment.
Your new role
As a Senior AI Technical Architect, you will take the lead in shaping and delivering the enterprise-wide AI technology approach. You will define strategic AI architecture, ensure alignment with organisational principles, and drive the design and implementation of innovative, production-ready solutions. You will architect, design and deliver AI systems leveraging Microsoft Azure Cognitive Services, focusing initially on:
- AI-powered Document Intelligence
- Multilingual speech transcription and translation
- Cognitive search across structured and unstructured content
You will collaborate closely with architecture, data and engineering teams to embed AI capabilities across the wider technology ecosystem. You'll lead technical proof-of-concepts, establish API and integration standards, guide engineering best practice and ensure compliance with accessibility, ethical and legal frameworks. This is a hands-on role at the centre of a growing AI delivery capability.
What you'll need to succeed
Essential technical expertise:
- Strong experience designing and delivering AI/ML solutions using Azure Cognitive Services
- Hands-on development skills in Python, C#/.NET, and React
- Deep knowledge of RESTful APIs, Azure AI orchestration, Cognitive Search (semantic, keyword and hybrid modes), OCR, layout analysis and metadata extraction
Background in building:
- Speech transcription pipelines
- Document intelligence models
- Multilingual translation solutions
Architectural & strategic capabilities:
- Ability to define enterprise AI strategy and align solutions with organisational architecture and technology roadmaps
- Experience evaluating and integrating cloud, hybrid, open-source and vendor AI technologies
Desirable:
- Familiarity with Azure OpenAI, Azure Content Safety and Azure DevOps
- Experience working within regulated or public sector environments (advantageous but not essential)
What you'll get in return
You will have the opportunity to shape a high-profile AI transformation from the ground up, influence strategic decision-making, and deliver practical, scalable AI capabilities that create real-world impact. You will work with cutting-edge Azure AI technologies and contribute to an ambitious roadmap of innovation and continuous improvement.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
AI Architect employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect on LinkedIn. The more you engage with others, the better your chances of hearing about opportunities that might not even be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Azure Cognitive Services. 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 common AI architecture questions and practical scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our ambitious AI transformation journey.
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Architect role. Highlight your experience with Azure Cognitive Services and any relevant projects you've worked on. We want to see how your skills align with our ambitious AI transformation!
Showcase Your Technical Skills: Don’t hold back on showcasing your hands-on development skills in Python, C#/.NET, and React. We’re looking for someone who can hit the ground running, so let us know about your technical prowess!
Highlight Collaboration Experience: Since this role involves working closely with various teams, make sure to mention any past experiences where you collaborated on AI projects. We love seeing teamwork in action, especially in a complex environment like ours!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our innovative team!
How to prepare for a job interview at Hays Technology
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Azure Cognitive Services and the specific AI solutions mentioned in the job description. Be ready to discuss your hands-on experience with Python, C#/.NET, and React, as well as any projects you've worked on that involved speech transcription or document intelligence.
✨Showcase Your Strategic Thinking
Prepare to talk about how you've defined enterprise AI strategies in the past. Think of examples where you've aligned solutions with organisational architecture and technology roadmaps. This will demonstrate your ability to think at a high level while still being hands-on.
✨Collaboration is Key
Since this role involves working closely with various teams, be ready to share examples of how you've successfully collaborated with architecture, data, and engineering teams. Highlight any experiences where you led technical proof-of-concepts or established API standards.
✨Understand the Bigger Picture
Familiarise yourself with the ethical and legal frameworks surrounding AI technologies. Be prepared to discuss how you ensure compliance in your projects, especially if you've worked in regulated environments. This shows that you’re not just technically savvy but also responsible.
