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- Tasks: Lead hands-on AI and data architecture projects using Microsoft Azure technologies.
- Company: Join a fast-growing enterprise based in Central London, embracing remote work culture.
- Benefits: Enjoy remote work flexibility, global travel opportunities, and all expenses covered for meetings.
- Why this job: Be at the forefront of AI innovation while working with cutting-edge Microsoft technologies.
- Qualifications: 3+ years in a senior technical role with expertise in data and AI solutions.
- Other info: Ideal for self-starters passionate about technology and eager to make an impact.
The predicted salary is between 43200 - 72000 £ per year.
Solution Architect / AI / Data / Microsoft Stack / Azure required to work for a fast growing Enterprise business based in Central London. However, this will be a remote role and you may have the odd meeting in London, along with some global travel (all expenses paid).
This role will be working at the forefront of AI, it will be VERY hands on and we need this candidate to not only have the Data Architecture experience within a Microsoft Stack environment, but we need you to have done some relevant AI solution designing too. We need you to understand Data, the Data Concepts, Natural Language Intelligence, the Deployment of off the shelf technologies etc. Ultimately, we need you to be passionate about Microsoft Technologies, AI and Data!
Role responsibilities:
- Tertiary qualifications in Information Technology, Data Science, AI, or related fields; qualifications in Architecture and Project Management are desirable.
- A minimum of three (3) years in a senior technical role focused on data and AI, such as technical lead, team lead, or architect.
- Knowledge of Enterprise Architecture methodologies, such as TOGAF, with a focus on data and AI.
- Experience in assessing data and AI solutions, particularly in Business Intelligence and Data Analytics.
- Excellent communication skills to explain data and AI concepts to non-technical audiences. Fluency in English; other languages are a plus.
- Strong planning and organizational skills, with the ability to communicate across various levels of stakeholders.
- Self-starter with the ability to prioritize and plan complex data and AI work in a rapidly changing environment.
- Results-oriented with the ability to deliver data and AI solutions that provide organizational benefits.
- Strong critical thinker with problem-solving aptitude in data and AI contexts.
- Team player with experience leading cross-functional teams to deliver data and AI solutions.
- Ability to develop data and AI architecture designs; experience with Service-Oriented Architectures (SOA) and AI frameworks.
- Available to work flexible hours, with strong collaboration, communication, and business relationship skills.
- Expert skill level experience with the following technologies:
- Azure AI Services
- Azure PaaS Data Services
- Object Oriented Analysis and Design
- CI/CD and source control
- ETL techniques and principles
- Data modelling
- Master Data Management
- Data Visualization
This is a great opportunity and salary is dependent upon experience. Apply now for more details.
Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote employer: Carrington Recruitment Solutions Ltd
Contact Detail:
Carrington Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote
✨Tip Number 1
Familiarise yourself with the latest Azure AI Services and PaaS offerings. Being well-versed in these technologies will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with ETL techniques and data modelling. Prepare specific examples of projects where you've successfully implemented these skills, as practical knowledge is highly valued in this role.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex data and AI concepts to non-technical stakeholders. This is crucial for a Solution Architect, so practice articulating your thoughts clearly.
✨Tip Number 4
Network with professionals in the field of data and AI, particularly those who work with Microsoft technologies. Attend relevant webinars or meetups to gain insights and potentially make connections that could help you land the job.
We think you need these skills to ace Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure, AI services, and data architecture. Use specific examples that demonstrate your hands-on skills and relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Microsoft technologies and AI. Mention how your background aligns with the role's requirements, particularly your experience in data modelling and ETL techniques.
Showcase Relevant Projects: Include a section in your application that details specific projects where you have implemented data and AI solutions. Highlight your role, the technologies used, and the outcomes achieved.
Prepare for Technical Questions: Anticipate technical questions related to data architecture and AI solutions during the interview process. Brush up on key concepts and be ready to discuss your problem-solving approach in these areas.
How to prepare for a job interview at Carrington Recruitment Solutions Ltd
✨Showcase Your Hands-On Experience
Make sure to highlight your practical experience with Azure AI Services and ETL techniques. Be prepared to discuss specific projects where you implemented these technologies, as this role is very hands-on.
✨Communicate Complex Concepts Simply
Since the role requires explaining data and AI concepts to non-technical audiences, practice articulating complex ideas in a straightforward manner. Use examples from your past experiences to illustrate your points.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss scenarios where you've tackled challenges in data architecture or AI solutions. Highlight your critical thinking and how you approached problem-solving in those situations.
✨Familiarise Yourself with Enterprise Architecture Methodologies
Brush up on methodologies like TOGAF, as they are relevant to the role. Be ready to discuss how you've applied these frameworks in your previous roles to enhance data and AI solutions.
