At a Glance
- Tasks: Lead the design of innovative cloud-native AI architectures and guide teams from ideation to production.
- Company: Globally established organisation with a focus on cutting-edge AI solutions.
- Benefits: Up to £120,000 salary, hybrid work, and comprehensive benefits.
- Other info: Mentorship opportunities and career growth in a dynamic tech landscape.
- Why this job: Shape the future of AI while making a tangible impact in a fast-paced environment.
- Qualifications: Strong expertise in Python, JavaScript, and deep knowledge of Generative AI frameworks.
The predicted salary is between 70000 - 90000 £ per year.
A globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value.
The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions.
Responsibilities for the AI Solutions Architect:- Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-aware
- Provide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real time
- Develop and maintain reusable reference architectures, patterns and templates to accelerate AI solution delivery
- Evaluate emerging AI tools, platforms and services, making informed build-versus-buy decisions
- Design cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalability
- Define lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIs
- Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use
- Design AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisions
- Mentor engineers and developers through architectural guidance, reviews and best-practice sharing
- Build architectural knowledge across multiple domains to support diverse use cases and enterprise contexts
- Align solutions with established enterprise standards and architectural principles
- Strong expertise in Python and JavaScript
- Hands-on experience with backend frameworks and modern frontend frameworks
- Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns
- Strong experience working with vector databases and AI-specific data stores
- Solid understanding of AI and ML models, LLMs and generative AI architectures
- Experience implementing governance frameworks for model selection, deployment and lifecycle management
- Hands-on experience with AI-assisted development tools
- Strong knowledge of cloud AI and ML platforms and associated architecture patterns
- Experience designing and managing APIs including REST and GraphQL
- Strong understanding of microservices and serverless architectures
- Practical experience with DevOps and MLOps practices including CI/CD pipelines
- Knowledge of security frameworks, identity management and authentication standards
- Experience with enterprise integration patterns and event-driven architectures
- Exposure to data engineering and data platform architectures
- Experience with Infrastructure as Code tools
If you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior GenAI Architect for Cloud-Native AI Solutions in City of 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 Involved Solutions 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 Involved Solutions.
✨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 Involved Solutions.
✨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 Involved Solutions 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 Senior GenAI Architect for Cloud-Native AI Solutions in City of 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 Involved Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Involved Solutions 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 Involved Solutions
✨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 Involved Solutions 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.
