Solutions Architect [Role Based In Abu Dhabi, UAE]

Technology Innovation Institute
Southampton
4 days ago
Create job alert

About Us:

AI71 is an applied research team dedicated to advancing cloud-based AI solutions for knowledge workers. Partnering closely with industry leaders, our cross-functional teams of AI experts deliver innovative products based on the cutting-edge research at the Technology Innovation Institute (TII).


Our mission is to enhance the practical applications of cloud technologies, enabling businesses to harness the power of AI and cloud infrastructure. As we continue to push boundaries in this space, we are seeking a talented mid/senior-level Solutions Architect to design and deliver cloud-centric solutions leveraging AWS and Microsoft Azure.


Position Overview:

As a Solutions Architect [role is based in Abu Dhabi, UAE] focusing on cloud architecture with expertise in AWS and Microsoft Azure, you will be instrumental in designing and implementing scalable, secure, and high-performance cloud solutions for AI-driven projects. You will work closely with product teams, engineers, and cloud specialists to deliver architecture strategies that optimize the deployment of AI solutions. Your technical expertise in cloud platforms will ensure that the solutions we deliver are efficient, reliable, and tailored to client needs.


Key Responsibilities:

  • Cloud Solution Design & Architecture:Lead the design and architecture of cloud-based solutions, focusing on AWS and Microsoft Azure for AI and machine learning workloads. Ensure cloud solutions are scalable, cost-efficient, and optimized for high-performance AI applications.
  • Client Collaboration & Requirements Gathering:Work closely with clients to understand their business goals and technical challenges, translating these into actionable cloud architecture solutions. Guide clients in integrating AWS and Azure services into their cloud infrastructure and AI workflows.
  • Cloud Platform Expertise:Bring deep technical knowledge of AWS and Microsoft Azure, particularly services like EC2, Lambda, S3, Azure Functions, and Azure AI. Leverage cloud-native tools to design solutions that are secure, performant, and reliable.
  • Cloud Infrastructure Optimization:Provide expert guidance on cloud architecture best practices, including infrastructure design, resource optimization, cost management, and performance tuning. Ensure AI solutions are deployed efficiently on the cloud platforms.
  • End-to-End Project Leadership:Own the delivery of cloud-based AI solutions, managing projects from inception through to deployment. Ensure the timely and high-quality execution of cloud architecture projects while maintaining client alignment.
  • Cross-Functional Collaboration:Collaborate with AI researchers, data scientists, and cloud engineers to ensure a seamless integration of AI models into cloud environments. Work with cross-functional teams to deliver innovative, scalable solutions.
  • Proof of Concepts & Demos:Design and deliver cloud-based proof-of-concept solutions and demos, showcasing the potential of AWS and Microsoft Azure in solving business challenges through AI integration.
  • Innovation & Research:Stay up to date with the latest trends and advancements in cloud technologies, particularly AWS and Microsoft Azure. Work with research teams to integrate the latest cloud innovations into practical client solutions.
  • Documentation & Knowledge Sharing:Provide detailed documentation on cloud architecture designs, best practices, and deployment strategies. Contribute to knowledge sharing across teams, helping foster continuous learning and improvement.


Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Cloud Computing, or a related field.
  • 3+ years of experience in cloud architecture, with a strong focus on AWS and Microsoft Azure.
  • Hands-on experience deploying cloud-native solutions, including AI/ML workloads, on AWS and Azure platforms.
  • Proficiency in designing cloud architectures using AWS (EC2, Lambda, S3, etc.) and Microsoft Azure (Azure Functions, Azure AI, etc.).
  • Experience in integrating cloud services for machine learning, data storage, security, and networking.
  • Strong understanding of cloud architecture principles, including high availability, disaster recovery, and security best practices.
  • Expertise in cost management and performance optimization in AWS and Azure environments.
  • Proficiency in DevOps practices, CI/CD pipelines, and cloud-based infrastructure automation tools (e.g., Terraform, CloudFormation).
  • Excellent communication skills, with the ability to articulate complex cloud architecture concepts to both technical and non-technical stakeholders.
  • Strong ability to work in cross-functional teams, with a focus on delivering business-oriented, cloud-based solutions.


Preferred Qualifications:

  • Cloud certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert.
  • Experience with containerized workloads and orchestration tools (e.g., Docker, Kubernetes) in the cloud.
  • Knowledge of AI/ML frameworks and integrating them into cloud environments.
  • Familiarity with cloud security practices, compliance, and governance.
  • Experience with multi-cloud strategies or hybrid cloud solutions.


Why Join Us:

  • Be part of a forward-thinking team at the forefront of cloud and AI innovation, leveraging AWS and Microsoft Azure to build impactful solutions.
  • Work on high-impact projects that transform industries and empower knowledge workers globally.
  • Competitive salary and benefits, including flexible work arrangements.
  • Access to continuous professional development opportunities, cloud certifications, and industry conferences.
  • A dynamic, inclusive company culture that fosters collaboration, creativity, and growth.

Related Jobs

View all jobs

Solutions Architect [Role Based In Abu Dhabi, UAE]

Azure Data Solutions Architect

Solutions Architect - Databricks

Solution Architect

Salesforce Health Cloud Architect

Solutions Architect

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

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

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.