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For Companies At a Glance
- Tasks: Design and build scalable AI systems and backend services using cutting-edge technologies.
- Company: A dynamic tech company focused on data-driven solutions and innovative software platforms.
- Benefits: Autonomy in your role, long-term progression, and a collaborative work environment.
- Why this job: Make a real impact in AI and edge computing while solving complex engineering challenges.
- Qualifications: Experience with Python and Go, plus a solid background in distributed systems.
- Other info: Join a team that values hands-on problem-solving and clear communication.
The predicted salary is between 36000 - 60000 £ per year.
My Client is a privately owned technology company operating in a specialist, data-driven domain, currently scaling a complex software platform built around edge computing, distributed systems, and AI workloads. They are seeking an experienced AI Systems Architect to take technical ownership of the core system architecture as the platform evolves and scales. This role is being handled confidentially and offers significant autonomy, influence over technical direction, and long-term progression for the right individual.
The Role
This position sits at the intersection of systems architecture, backend engineering, and platform reliability. You will design and build the infrastructure that connects distributed edge environments with backend services, ensuring systems are scalable, observable, and robust in production. The role is hands-on and suited to someone who enjoys solving complex engineering problems rather than operating purely at a conceptual level.
Key Responsibilities
- Own and evolve end-to-end system architecture across edge and backend environments
- Design and build backend services and APIs using Go and Python
- Develop scalable data ingestion wildcard, messaging, and telemetry pipelines
- Support containerised deployments and system reliability
- Work closely with senior engineers to align architecture with delivery
- Identify and manage trade-offs around performance, latency, and scalability
- Document system design and architectural decisions clearly
Essential Experience
- Strong experience with Python in production environments
- Commercial experience using Go (Golang) for backend or systems development
- Solid Linux background
- Proven track record designing and supporting production distributed systems
- API design and integration experience
- Strong understanding of networking and system interactions
Desirable Background
- Edge or distributed computing environments
- Event-driven or messaging-based architectures
- Telemetry, monitoring, or data-intensive platforms
- Containerisation and deployment workflows
- Exposure to constrained or non-traditional runtime environments
Profile Sought
- Senior engineer or architect who remains hands-on
- Comfortable operating with incomplete information and evolving requirements
- Pragmatic decision-maker who understands real-world trade-offs
- Clear communicator with strong documentation habits
- Interested in long-term technical ownership rather than short-term delivery
If you are interested in this position, please Click Apply Now!
AI Systems Architect in Clive employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Architect in Clive
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI, Python, and Go. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to systems architecture and distributed systems, so you can confidently demonstrate your expertise.
✨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 about their job search!
We think you need these skills to ace AI Systems Architect in Clive
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Systems Architect role. Highlight your experience with Python, Go, and any relevant distributed systems work to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description.
Showcase Your Problem-Solving Skills: Since this role is all about solving complex engineering problems, include examples in your application that demonstrate your hands-on approach and how you've tackled challenges in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Adria Solutions Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Go. Brush up on your knowledge of distributed systems and edge computing, as you’ll likely be asked to discuss how you’ve applied these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex engineering problems you've tackled. Think about the trade-offs you had to manage regarding performance and scalability, and be ready to explain your decision-making process clearly.
✨Communicate Clearly and Document Well
Since clear communication is key for this role, practice articulating your thoughts on system architecture and design decisions. Bring along any documentation samples that showcase your ability to document technical processes effectively.
✨Demonstrate Your Hands-On Experience
Be prepared to discuss your hands-on experience with containerisation and deployment workflows. Highlight any projects where you’ve built backend services or APIs, and don’t shy away from discussing the challenges you faced and how you overcame them.
