At a Glance
- Tasks: Design and deliver scalable AI solutions, bridging research with engineering.
- Company: Leading tech organisation in Glasgow focused on innovative AI products.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Proactive team players thrive here; excellent career growth awaits!
- Why this job: Shape the future of AI while working hands-on with cutting-edge technologies.
- Qualifications: 5+ years in software development with strong AI and coding skills.
The predicted salary is between 80000 - 98000 £ per year.
We're working with a leading organisation based in Glasgow to recruit an experienced AI Solution Architect to join their growing technology team. This is a pivotal role for someone who wants to shape the future of AI-powered products - bridging cutting-edge research with production-grade engineering.
The Role
As AI Solution Architect, you'll lead the design and delivery of scalable, secure LLM-powered solutions from prototype through to production. You'll set technical direction, define best practices, mentor developers, and work cross-functionally with Product, Data, Ops, IT Governance and Cyber Security teams to identify where AI can deliver real business value. This isn't a hands-off architecture role - you'll be deep in the code, using AI coding assistants like Claude Code as part of your daily workflow, while also owning quality, reliability, observability and performance across AI systems.
Key Responsibilities
- Design and implement secure, scalable Generative AI and LLM-powered applications
- Lead architecture and end-to-end development of AI solutions
- Define technical standards, engineering roadmaps and best practices for AI initiatives
- Collaborate with Product to identify and shape candidate AI use cases
- Ensure AI solutions are secure by design and data is handled responsibly and ethically
- Evaluate and select AI frameworks, LLM providers, vector databases and cloud infrastructure
- Mentor and provide technical leadership to the development team
- Stay current with advancements in AI and help shape the organisation's AI journey
- Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders
What We're Looking For
Essential:
- 5+ years in a software development role
- Hands-on experience with Generative AI and LLMs
- Strong knowledge of RAG, prompt engineering and evaluation techniques
- AI infrastructure experience - vector stores, embeddings, model serving
- AI agent frameworks and orchestration
- Proficiency in TypeScript, Python, React and/or Node.js
- Microsoft .NET stack, SQL Server, NoSQL (e.g. Cosmos DB)
- REST API design, clean architecture and design patterns
- GIT, Azure DevOps, CI/CD Pipelines and IaaC
- Secure AI solution design and responsible AI principles
Desirable:
- Degree level qualification
- Experience with agentic tooling
- Background in domain-driven design or event-driven systems
- Knowledge of the Facilities Management domain
What Kind of Person Thrives Here?
You're proactive, outcome-focused and equally comfortable working independently or as part of a collaborative team. You care about code quality, you mentor others naturally, and you bring a pragmatic, flexible approach to solving complex problems. You take ownership - of your work, your deadlines, and the standards of the team around you.
Interested? If you're ready to take a lead role in shaping how AI is built and deployed at scale, we'd love to hear from you.
AI Solution Architect in Paisley employer: Be
Join a leading organisation in Glasgow that champions innovation and collaboration, offering an exciting opportunity for an AI Solution Architect to make a significant impact on AI-powered products. With a strong focus on employee growth, a supportive work culture, and competitive benefits, this company fosters an environment where your technical expertise can thrive while you mentor others and shape the future of AI solutions. Experience the unique advantage of working in a vibrant city known for its rich culture and technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect in Paisley
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Be or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Be.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Be.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Be that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Solution Architect in Paisley
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Be.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Be and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Be
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Be uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
