AI Solutions Architect - up to £120K+Benefits - Hybrid/London

AI Solutions Architect - up to £120K+Benefits - Hybrid/London

London Full-Time 72000 - 84000 £ / year (est.) No working from home possible
Involved Solutions

At a Glance

  • Tasks: Lead the design of innovative 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 model, and comprehensive benefits.
  • Other info: Mentorship opportunities and career growth in a dynamic tech landscape.
  • Why this job: Shape the future of AI while working in a fast-paced, innovative environment.
  • Qualifications: Strong expertise in Python, JavaScript, and cloud-native AI architectures.

The predicted salary is between 72000 - 84000 £ 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

Essential Skills for the AI Solutions Architect:

  • 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

Desirable Skills for the AI Solutions Architect:

  • 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.

AI Solutions Architect - up to £120K+Benefits - Hybrid/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.

Involved Solutions

Contact Details:

Involved Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Architect - up to £120K+Benefits - Hybrid/London

Tip Number 1

Network like a pro! Attend industry meetups, webinars, and conferences to connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can introduce you to hiring managers.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, proof-of-concepts, and any innovative solutions you've designed. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common architecture scenarios and be ready to discuss how you would approach real-world challenges in AI solutions.

Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with cloud-native architectures and generative AI.

We think you need these skills to ace AI Solutions Architect - up to £120K+Benefits - Hybrid/London

Python
JavaScript
Backend Frameworks
Frontend Frameworks
Generative AI
Agent-based AI Frameworks
Vector Databases

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI architectures, cloud-native solutions, and any relevant frameworks. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Don't forget to mention specific projects or achievements that showcase your expertise.

Showcase Your Technical Skills:We’re keen on seeing your technical prowess! Include examples of your work with Python, JavaScript, and any AI tools you've used. If you've designed scalable AI platforms or worked with vector databases, make sure to highlight those experiences.

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!

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 Problem-Solving Skills

Prepare to talk about how you've tackled challenges in previous roles, especially when it comes to designing AI architectures. Think of examples where you had to make tough decisions about build-versus-buy or integrating AI solutions with existing systems.

Demonstrate Your Leadership Abilities

As a senior role, they'll want to see your ability to lead teams and mentor others. Share experiences where you've guided teams through ideation to production, and how you’ve shared best practices to elevate the team's performance.

Align with Their Vision

Research the company’s current AI initiatives and be prepared to discuss how your vision aligns with theirs. Show that you understand their goals and can contribute to their innovation cycles while maintaining compliance and security standards.