Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote

Manchester Square
2 weeks ago
Create job alert

Data & AI Architect, Azure AI Services, PaaS, ETL, Data Modelling, Remote

Data & AI Architect / 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 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

Related Jobs

View all jobs

Data Architect

AI & ML Architect

AI Solutions Architect (R122902 AI Solutions Architect) (Hiring Immediately)

Microsoft Fabric Architect / Engineer

Lead CRM Solution Architect - Microsoft Dynamics 365

Architecture Systems Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.