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 package.
- Other info: Mentor engineers and enjoy excellent career growth opportunities.
- Why this job: Shape the future of AI while working in a fast-paced, dynamic environment.
- Qualifications: Strong expertise in Python, JavaScript, and deep knowledge of 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 employer: Involved Solutions
Join a globally established organisation that champions innovation and creativity in the field of AI solutions. With a hybrid working model based in London, you will benefit from a collaborative work culture that prioritises employee growth through mentorship and hands-on experience in cutting-edge technologies. Enjoy competitive remuneration, comprehensive benefits, and the opportunity to lead transformative projects that deliver real business value while working alongside a talented team of professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior GenAI Architect for Cloud-Native AI Solutions
✨Tip Number 1
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. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work, especially any projects related to AI architectures or cloud-native solutions. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI Solutions Architecture. Think about how you’d tackle real-world problems and be ready to share your thought process during discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior GenAI Architect role. 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 this role. Share specific examples of your past projects and how they align with the responsibilities listed in the job description.
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 governance frameworks you've implemented. We love seeing practical applications of your knowledge.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, JavaScript, and cloud-native architectures. Brush up on your knowledge of Generative AI frameworks and be ready to discuss how you've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed innovative AI solutions or led teams through complex challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your strategic thinking.
✨Understand the Business Value
Be ready to articulate how your architectural designs can deliver tangible business value. Think about how your previous work has impacted the bottom line and be prepared to discuss this during the interview.
✨Engage with Questions
Prepare insightful questions that show your interest in the company’s projects and future direction. Ask about their current AI initiatives or how they envision the role evolving, which will demonstrate your enthusiasm and strategic mindset.
