At a Glance
- Tasks: Lead the design of innovative, cloud-native AI architectures for rapid experimentation.
- 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: Mentor teams and enjoy excellent career growth opportunities.
- Why this job: Shape the future of AI while making a tangible business impact.
- Qualifications: Strong expertise in Python, JavaScript, and Generative AI frameworks.
The predicted salary is between 120000 - 120000 £ 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.
Senior GenAI Architect for Cloud-Native AI Solutions in London employer: Involved Solutions
Involved Solutions is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the fast-paced world of equities trading. With a strong focus on employee growth, we provide ample opportunities for professional development and a competitive benefits package, all within the vibrant setting of Bromley. Join us to be part of a leading global organisation where your contributions directly impact critical trading systems and regulatory advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior GenAI Architect for Cloud-Native AI Solutions in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to AI architectures or cloud-native solutions. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios specific to AI solutions architecture. Think about how you’d approach designing a cloud-native solution and be ready to discuss your thought process in detail.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior GenAI Architect for Cloud-Native AI Solutions in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, JavaScript, and any relevant AI frameworks to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Senior GenAI Architect role. Share specific examples of your past projects and how they align with our mission at StudySmarter.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include details about your experience with cloud-native architectures, AI tools, and any hands-on projects that showcase your capabilities.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python and JavaScript skills, as well as your knowledge of Generative AI frameworks. Be ready to discuss specific projects where you've implemented these technologies, and how they contributed to the success of the project.
✨Showcase Your Strategic Thinking
Prepare to talk about how you've designed cloud-native architectures in the past. Highlight your experience with serverless and PaaS services, and be ready to explain your decision-making process when it comes to build-versus-buy scenarios.
✨Demonstrate Leadership Skills
Since this role involves mentoring engineers and guiding teams, think of examples where you've provided technical leadership. Discuss how you facilitated workshops or ideation sessions, and how you assessed feasibility in real-time during those discussions.
✨Be Ready for Scenario Questions
Expect questions that ask you to evaluate emerging AI tools or to design a solution on the spot. Practise articulating your thought process clearly, and don't hesitate to mention trade-offs and technical decisions you've made in previous roles.
