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- Tasks: Transform AI concepts into real-world solutions and prototypes for clients.
- Company: Join a pioneering consulting firm with a focus on technology and innovation.
- Benefits: Competitive salary, flexible working, and access to global AI alliances.
- Why this job: Be at the forefront of AI, bridging tech and strategy to create impactful solutions.
- Qualifications: Experience in enterprise software and hands-on AI model architecture.
- Other info: Dynamic role with opportunities for thought leadership and career growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
You know those conversations that are punctuated with references to AI? And then everyone nods, but no one really knows what to do next? That’s where you come in. This is a brand new Technology & Innovation unit in a large Consulting firm. We’re looking for engineers who can turn vague ambitions into something real. Not just a slide deck. Not just buzzwords. Actual solutions that work. Sitting at the intersection of technology, strategy and thought leadership, you’ll be the person who bridges the gap between industry SMEs (who spot the business cases) and the teams who build the stuff. You’ll be a hands-on software engineer / architect, who shapes AI solutions that make sense—technically and commercially—and show clients and internal teams what’s possible. You’ll also have unprecedented access to global alliances at the forefront of the AI frontier.
What you’ll be doing:
- Working with client-facing Consulting teams and internal teams from early in the process to help prospects understand what AI can do for them.
- Designing and demonstrating prototypes that prove the value of a solution before building it.
- Acting as a trusted advisor—someone who can explain complex AI concepts to non-technical people without making them feel stupid.
What you’ll need:
- Deep experience shaping and engineering enterprise software solutions from the concept right through to delivery.
- Hands-on knowledge of AI model architecture—LLMs, SLMs, training, deployment.
- Practical experience with at least two hyperscale platforms and a lot of experience on AI foundation models (AWS Bedrock, Azure ML, Google Vertex, OpenAI).
- A solid grasp of data, machine learning, and the realities of cloud security and cost optimisation.
You’ll be an engineer at heart who still loves solving technical problems and developing software. But this isn’t a pure coding role. It’s about thought leadership (particularly on enterprise agentic AI strategies at scale), influence, credibility, and making things happen. If you like being the person who connects the dots and turns ideas into working solutions, you’ll enjoy this.
AI Solution Engineer / Architect - UK wide in Manchester employer: Time Sourcing
Contact Detail:
Time Sourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Engineer / Architect - UK wide in Manchester
✨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. The more you engage, the better your chances of landing that AI Solution Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and prototypes. This is your chance to demonstrate how you can turn vague ideas into real solutions. Make sure to highlight your hands-on experience with AI model architecture.
✨Tip Number 3
Practice your pitch! Be ready to explain complex AI concepts in simple terms. You want to be that trusted advisor who can bridge the gap between technical and non-technical folks. Role-play with friends or family to nail it down.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented engineers who can shape AI solutions. Don’t just send your CV; show us your passion for technology and innovation. Let’s make things happen together!
We think you need these skills to ace AI Solution Engineer / Architect - UK wide in Manchester
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for AI in your application! Share specific examples of how you've engaged with AI technologies and how they’ve inspired you to create real solutions. We want to know what makes you tick!
Tailor Your Application: Don’t just send a generic CV and cover letter. Make sure to tailor your application to the role of AI Solution Engineer/Architect. Highlight your relevant experience and skills that align with our job description—this will help us see why you're the perfect fit!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point—show us what you can do without fluff!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at Time Sourcing
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss specific AI models, like LLMs and SLMs, and how they can be applied in real-world scenarios. This will show that you’re not just familiar with buzzwords but can actually engage in meaningful conversations about solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you’ve turned vague ideas into concrete solutions. Highlight your role in designing prototypes and how you communicated complex concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Understand the Business Side
Familiarise yourself with the commercial aspects of AI solutions. Be ready to discuss how your technical skills can drive business value and optimise costs. This will help you position yourself as a trusted advisor who understands both technology and strategy.
✨Practice Your Communication Skills
Since you'll need to explain complex AI concepts clearly, practice articulating your thoughts in simple terms. Consider doing mock interviews with friends or colleagues to refine your ability to communicate effectively. This will help you come across as approachable and knowledgeable during the actual interview.
