Data & AI Solution Architect, Azure, Remote

CV-Library
Manchester Square, Greater London
13 months ago
Applications closed

Related Jobs

View all jobs

Resident Solutions Architect (Professional Services)

Databricks London, United Kingdom

Platform Engineer

Faculty AI London, United Kingdom
Hybrid

Solutions Architect, Financial Services - Data Center and Infrastructure

NVIDIA Reading, United Kingdom

Solutions Architect, Financial Services - Data Center and Infrastructure

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Specialist Solutions Architect - DE/DWH

Databricks London, United Kingdom
Posted
11 Apr 2025 (13 months ago)

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.