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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, with remote work flexibility.
- Benefits: Enjoy remote work, global travel opportunities, and all expenses paid for meetings.
- Why this job: Be at the forefront of AI innovation while working in a dynamic, collaborative environment.
- Qualifications: 3+ years in a senior technical role with expertise in data and AI solutions.
- Other info: Flexible hours and a chance to work with cutting-edge Microsoft technologies.
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.
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 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 projects where you've successfully implemented these skills, as practical knowledge is highly valued.
✨Tip Number 4
Showcase your ability to communicate complex data and AI concepts to non-technical stakeholders. This skill is crucial for a Solution Architect role, so think of ways to illustrate your past experiences where you've effectively bridged the gap between technical and non-technical teams.
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, 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 responsibilities and why you're excited about the opportunity to work in a remote setting.
Showcase Relevant Skills: Clearly outline your expertise in Azure AI Services, ETL techniques, and data modelling. Use bullet points to make it easy for the hiring team to see your qualifications at a glance.
Prepare for Technical Questions: Be ready to discuss your experience with Enterprise Architecture methodologies and your approach to solving complex data and AI problems. Think of examples that showcase your critical thinking and problem-solving skills.
How to prepare for a job interview at Carrington Recruitment Solutions Ltd
✨Showcase Your Hands-On Experience
Since this role is very hands-on, be prepared to discuss specific projects where you've implemented Azure AI Services or ETL processes. Highlight your direct involvement and the impact of your contributions.
✨Demonstrate Your Communication Skills
You'll need to explain complex data and AI concepts to non-technical stakeholders. Practice simplifying technical jargon into relatable terms, and be ready to provide examples of how you've done this in past roles.
✨Familiarise Yourself with Enterprise Architecture Methodologies
Understanding frameworks like TOGAF is crucial for this position. Brush up on these methodologies and be ready to discuss how you've applied them in your previous work, especially in relation to data and AI.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your critical thinking and problem-solving skills in data and AI contexts. Think of specific challenges you've encountered and how you successfully navigated them, showcasing your analytical abilities.
