At a Glance
- Tasks: Shape AI strategy and design innovative, scalable solutions for cloud services.
- Company: Leading UK tech provider focused on cloud and digital transformation.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Work remotely with a focus on cutting-edge technology and career advancement.
- Why this job: Join a dynamic team to drive AI innovation and make a real impact.
- Qualifications: Experience in AI, cloud solutions, and customer engagement required.
The predicted salary is between 90000 - 95000 £ per year.
Our client is a leading UK technology solutions and managed services provider, delivering a broad portfolio of services across Cloud, Connectivity, Cyber Security, Communications and Modern Workplace solutions. Their customers span both public and private sector organisations, including businesses operating within highly regulated environments. Their portfolio includes managed public cloud, private cloud, sovereign cloud, infrastructure services, networking, collaboration technologies and professional services designed to support digital transformation and long-term operational success.
As part of continued investment in their cloud and digital services portfolio, they are seeking an experienced AI Solutions Architect to help embed AI capabilities across their existing cloud services and develop innovative AI-enabled offerings for customers. Working at the intersection of Cloud, Data, Automation and Artificial Intelligence, you will play a key role in shaping strategy, designing scalable solutions and driving the adoption of AI technologies that improve productivity, automation, service delivery and customer outcomes.
The Role
- Defining AI strategy, architecture and governance frameworks.
- Designing secure, scalable and commercially viable AI solutions.
- Developing AI-enabled products, services and automation capabilities.
- Creating reusable architectures, implementation guides and best practices.
- Identifying opportunities to improve efficiency through AI and process automation.
- Acting as a trusted advisor to customers throughout discovery, solution design and delivery.
- Supporting bids, proposals, workshops and customer engagements.
- Ensuring AI initiatives meet security, compliance and governance requirements.
Skills & Experience
We're interested in candidates with experience across some or all of the following:
- Generative AI, Large Language Models (LLMs), AI assistants and AI agents.
- Retrieval Augmented Generation (RAG), enterprise search and knowledge management solutions.
- Solution, platform or enterprise architecture.
- Data architecture, integration, APIs and governance.
- Security, compliance, risk management and secure-by-design principles.
- Automation, orchestration and modern engineering practices.
- Customer-facing architecture, consultancy or pre-sales experience.
- Translating business requirements into scalable technology solutions.
Must be eligible for SC clearance.
AI Architect in London employer: Context
As a leading technology solutions provider, our company offers an exceptional work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, all while enjoying the flexibility of remote work. Join us to be part of a dynamic team that values creativity and is committed to delivering cutting-edge solutions across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect in London
✨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 Context 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 Context.
✨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 Context.
✨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 Context 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 Architect in London
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 Context.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Context 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 Context
✨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 Context 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.
