Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design scalable platforms and build innovative prototypes for AI and intelligent systems.
- Company: Established tech organisation with a collaborative culture and strong engineering team.
- Benefits: Excellent salary package, remote work, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and technical ownership.
- Why this job: Make a real impact in AI and automation while working with cutting-edge technologies.
- Qualifications: 10+ years in software engineering, experience with AI, and proficiency in Python.
The predicted salary is between 80000 - 100000 £ per year.
A well-established technology organization that develops advanced analytics and decision-support software used by enterprise customers operating in complex and regulated environments. Their platforms enable organizations to better understand data, manage risk, and automate critical processes. They offer a collaborative culture, strong leadership, and a very good team environment where innovation and technical ownership are encouraged.
We are seeking a senior technical professional who can define system architecture while remaining hands-on in building and validating technical solutions. This role is ideal for someone who enjoys designing scalable platforms, developing working prototypes, and influencing engineering direction through practical delivery rather than management responsibility.
The successful candidate will bring significant experience in distributed systems, cloud-native platforms, and production AI or automation technologies. A strong understanding of API design, system integration, and modern software engineering practices will be essential.
Duties Required- Design and establish architectural patterns for intelligent automation and scalable platform services
- Build proof-of-concept solutions and technical prototypes to validate architecture decisions
- Define API and integration strategies that support reliable and secure system interoperability
- Provide guidance on AI, data, and system design to ensure performance, reliability, and maintainability
- Collaborate closely with engineering and product teams to align technical solutions with business needs
- Support the adoption of cloud infrastructure, containerization, and modern deployment practices
- Evaluate new technologies and recommend practical implementation approaches
- Approximately 10+ years of experience in software engineering, architecture, or platform development
- Strong background designing scalable distributed or cloud-based systems
- Hands-on experience working with AI, machine learning, or automation-driven platforms in production
- Proficiency in Python and at least one additional language such as TypeScript or C#
- Experience with API design, microservices, and system integration patterns
- Familiarity with cloud platforms such as Azure, AWS, or similar environments
- Solid understanding of software architecture, performance, and reliability principles
- Experience working in regulated or enterprise software environments
- Exposure to advanced analytics, workflow automation, or large-scale data platforms
- Familiarity with modern AI infrastructure or intelligent system orchestration
Enterprise Architect — AI & Intelligent Systems in Telford employer: Solas IT Recruitment
Contact Detail:
Solas IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Architect — AI & Intelligent Systems in Telford
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and intelligent systems. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving scalable platforms or AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with distributed systems and cloud-native platforms. We want to see how you think and solve problems, so practice articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Enterprise Architect — AI & Intelligent Systems in Telford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in distributed systems, cloud-native platforms, and AI technologies to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Enterprise Architect role. Share specific examples of your past projects that align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t shy away from detailing your hands-on experience with Python, API design, and cloud platforms. We love seeing how you’ve applied your technical knowledge in real-world scenarios!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It helps us keep track of your application and ensures it gets the attention it deserves!
How to prepare for a job interview at Solas IT Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially distributed systems and cloud-native platforms. Brush up on your Python skills and be ready to discuss your experience with AI and automation technologies.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed scalable platforms or built proof-of-concept solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your hands-on experience.
✨Understand the Company’s Needs
Research the company’s products and how they help enterprise customers manage data and risk. Be ready to explain how your architectural decisions can align with their business goals and improve their existing systems.
✨Collaborate and Communicate
Since this role involves working closely with engineering and product teams, practice articulating your ideas clearly. Be prepared to discuss how you would guide teams on AI, data, and system design while fostering a collaborative environment.