At a Glance
- Tasks: Architect innovative AI solutions and collaborate with a skilled tech team.
- Company: Join MS InfoTech Ltd, a forward-thinking UK software development company.
- Benefits: Competitive salary, flexible working hours, health benefits, and professional growth opportunities.
- Other info: Dynamic environment with opportunities for accelerated career progression.
- Why this job: Work with cutting-edge technologies and make a real impact in the AI field.
- Qualifications: Experience in AI architecture, cloud platforms, and strong problem-solving skills.
The predicted salary is between 51000 - 61000 € per year.
Company Information
MS InfoTech Ltd (MSIT) is a UK based Software development company founded in 2013. We design and deliver software solutions to several market areas including the financial sector. Our clients are predominantly Europe based. We position ourselves to work on cutting edge technologies and aim to supply demonstrable benefits to our clients. Our management team have, collectively, decades of exposure in the IT industry spanning across support, design, networking and development in both the Corporate and SME space.
Location
Role is onsite office based in Aylesbury, Buckinghamshire.
Who you’ll be working with
You will join a highly skilled technical team and will be able to work on challenging projects employing cutting edge technologies. We have an ambition to grow the team throughout 2025 and into 2026 focusing on key technologies such as AI, Data Analysis, Salesforce, Cloud technologies and cutting-edge web technologies.
Focus of your role
We are on the hunt for a technology-oriented AI Architect to work closely with our clients to identify what it is they need, and how we can solve their problems with innovative digital tech. Skilled in coordinating teams across software, data engineering, and data modelling initiatives. Brings a strong understanding of cloud platforms, microservices, data analysis tools, and modern technologies like Databricks and AI/ML applications.
Roles and Responsibilities
- Architect end to end AI solutions including Data ingestion, pipelines, model training, monitoring, feedback loops etc.
- Design RAG systems.
- Build APIs and services to integrate AI/ML models into production systems.
- Implement unit tests, CI/CD pipelines, and code reviews to ensure high-quality software.
- Design, train, and validate ML and AI models as well as optimize models for scalability, latency, and performance.
- Develop and optimize data architectures.
- Ensure data quality, governance, and security across systems.
- Implement deep learning, NLP, recommendation systems, or predictive analytics solutions.
- Collaborate with data scientists to productionize research models.
- Automate ML workflows, including training, testing, and deployment.
- Implement CI/CD pipelines for ML/AI applications.
- Monitor and maintain models in production, ensuring reliability and fairness.
- Work with cloud infrastructure (AWS, GCP, Azure) for scalable deployments.
Preferred Qualifications
- Experience with large-scale data architecture and distributed systems.
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers).
- Familiarity with data visualization tools (Tableau, Power BI, Plotly).
- Experience with real-time analytics and streaming AI.
- Understanding of data privacy, security, and compliance (GDPR, HIPAA, etc.).
Soft Skills
- Strong organizational and multitasking abilities.
- Effective written and verbal communication with both technical and non-technical audiences.
- Proactive mindset with attention to detail and a willingness to learn.
- Strong analytical and problem-solving mindset with attention to detail.
- Highly organized, adaptable, and proactive in supporting project goals.
Desirable Skills
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
- Experience of working in a Scrum or Agile methodology.
What we’ll offer you
- Working with cutting edge technologies.
- Professional development structure.
- Accelerated career progression.
- An environment that encourages entrepreneurial spirit.
- Business skill development.
- Hybrid/flexible working hours.
- Salary range will be £51000 - £61000 per annum, depending on experience.
- Exposure to top level management where your input will be welcomed and required.
- Health, pension, travel benefits are all fully negotiable.
Job Type: Permanent Full-time
AI Architect employer: MS InfoTech Ltd
At MS InfoTech Ltd, we pride ourselves on being an excellent employer by fostering a dynamic work culture that embraces innovation and collaboration. Located in Aylesbury, Buckinghamshire, our team enjoys the benefits of working with cutting-edge technologies while having access to professional development opportunities and accelerated career progression. We value our employees' contributions and offer a flexible working environment, competitive salary packages, and comprehensive benefits, making us an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data architecture. This gives potential employers a tangible sense of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI architecture. Think about how you would approach real-world problems and be ready to discuss your thought process. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at MS InfoTech Ltd.
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Architect role. Highlight your experience with cloud platforms, data architecture, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Be sure to mention any specific technologies or methodologies you’re familiar with that match our needs.
Showcase Your Projects:If you've worked on any interesting AI or data projects, don’t hold back! Include links or descriptions in your application. We love seeing real-world applications of your skills and how you’ve tackled challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at MS InfoTech!
How to prepare for a job interview at MS InfoTech Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI technologies and tools mentioned in the job description, like Databricks and cloud platforms. Brush up on your knowledge of deep learning architectures and data analysis tools, as you’ll likely be asked to discuss these during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about projects where you designed end-to-end AI solutions or optimised data architectures, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly and Confidently
Since you'll be working with both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will demonstrate your effective communication skills, which are crucial for the role of an AI Architect.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and future technology goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
