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- Tasks: Lead the design and implementation of AI solutions using Azure Cognitive Services.
- Company: Join a forward-thinking public sector client driving AI innovation.
- Benefits: Hybrid work model, competitive contract rate, and potential for extension.
- Why this job: Be a key player in shaping AI capabilities that impact core services.
- Qualifications: Experience with Azure Cognitive Services, Python, C#, and AI/ML architectures.
- Other info: Opportunity to mentor teams and influence ethical AI delivery.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Hybrid (Edinburgh) ⏳ 6–12 Month Contract Extension Opportunity
Our main public sector client is delivering a major programme to introduce AI and automation across core services. They are seeking a hands-on Senior AI Technical Architect to lead the design, implementation, and strategic direction of enterprise-wide AI capabilities. This is a highly influential role for a technical leader with deep experience across Azure Cognitive Services, Python, C#, React, and modern AI/ML architectures.
Key Responsibilities- Define the organisation’s AI architecture approach and ensure alignment with strategy, standards, and compliance requirements.
- Evaluate and integrate a wide range of AI technologies across cloud, on-prem, hybrid, open-source, and vendor ecosystems.
- Design and implement scalable AI solutions using Azure AI Services, including Document Intelligence, Speech, Translator, and Azure AI Search.
- Lead multiple proof-of-concept (PoC) projects in areas such as multilingual transcription, intelligent document processing, and cognitive search.
- Set architecture patterns, API contracts, and integration models with enterprise systems.
- Provide technical leadership, mentoring, and guidance across development teams.
- Work closely with product owners, analysts, and governance teams to ensure ethical, accessible, and compliant AI delivery.
- Demonstrable experience shaping end-to-end AI capabilities aligned to business and technical strategy.
- Strong background designing AI/ML solutions with Azure Cognitive Services.
- Hands-on expertise in: Python (data workflows, Azure SDKs), C#/.NET (enterprise integration), React (front-end for PoCs and demos).
- Deep knowledge of: RESTful API design, Azure AI pipelines & orchestration, Cognitive Search (keyword, semantic, hybrid), OCR, key-value extraction, document layout analysis.
- Experience delivering AI solutions including transcription, document intelligence, and multilingual translation.
Locations
Artificial Intelligence Consultant in Edinburgh, Scotland employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Consultant in Edinburgh, Scotland
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who work with Azure Cognitive Services. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI/ML solutions, especially those using Python and C#. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI architecture questions. Be ready to discuss your experience with Azure AI Services and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Artificial Intelligence Consultant in Edinburgh, Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior AI Technical Architect. Highlight your experience with Azure Cognitive Services, Python, and C#, as these are key skills we're looking for. We want to see how your background aligns with our needs!
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 can help us deliver innovative solutions. Be sure to mention specific projects or achievements that relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving AI/ML architectures or Azure services, make sure to include them in your application. We love seeing real-world examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Cognitive Services and the specific technologies mentioned in the job description. Brush up on your Python, C#, and React skills, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in AI/ML projects and how you overcame them. Think of examples that highlight your ability to design scalable solutions and lead proof-of-concept projects.
✨Align with Their Vision
Understand the organisation’s goals for AI and automation. Be ready to discuss how your experience aligns with their strategic direction and how you can contribute to ethical and compliant AI delivery.
✨Ask Insightful Questions
Prepare thoughtful questions about their current AI initiatives and future plans. This shows your genuine interest in the role and helps you gauge if the company’s culture and objectives align with your career aspirations.