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- Tasks: Lead hands-on AI and data architecture projects using Microsoft Azure.
- Company: Join a fast-growing enterprise based in Central London, working remotely.
- Benefits: Enjoy remote work, global travel opportunities, and all expenses paid for meetings.
- Why this job: Be at the forefront of AI technology while collaborating with cross-functional teams.
- Qualifications: Tertiary qualifications in IT, Data Science, or AI; 3+ years in a senior technical role required.
- Other info: Flexible hours and a results-oriented environment await you!
The predicted salary is between 43200 - 72000 £ per year.
Solution Architect, Azure AI Services, Data, PaaS, ETL, Data Modelling, Remote 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! Read on for more details… 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 ·Experienced in building Microsoft AI Services ·Reporting and analytics solutions in the Microsoft Azure ecosystem This is a great opportunity and salary is dependent upon experience. Apply now for more details
Contact Detail:
Carrington Recruitment Solutions 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 Data Services. Being well-versed in these technologies will not only boost your confidence but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the data and AI space, especially those who work with Microsoft technologies. Engaging in relevant online communities or attending industry events can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your hands-on experience with ETL techniques and data modelling during interviews. Be ready to share specific examples of how you've successfully implemented these in past projects.
✨Tip Number 4
Showcase your ability to communicate complex data and AI concepts to non-technical audiences. This skill is crucial for a Solution Architect role, so think of ways to illustrate your experience in making technical information accessible.
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 in ETL and data modelling.
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 responsibilities and how you can contribute to the company's success.
Showcase Relevant Projects: Include details of any relevant projects you've worked on, especially those involving Azure AI Services or data solutions. Highlight your role, the challenges faced, 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
✨Showcase Your Hands-On Experience
Make sure to highlight your practical experience with Azure AI Services and ETL techniques. Prepare specific examples of 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 analogies or simple terms to demonstrate your understanding.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss challenges you've faced in previous roles and how you overcame them, particularly in data and AI contexts. This will showcase your critical thinking and problem-solving aptitude.
✨Prepare for Questions on Enterprise Architecture
Familiarise yourself with Enterprise Architecture methodologies like TOGAF. Be prepared to discuss how these frameworks apply to data and AI solutions, as this knowledge is crucial for the role.
