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For Companies At a Glance
- Tasks: Lead the design and delivery of cutting-edge AI systems for global B2C platforms.
- Company: Join a forward-thinking company at the forefront of AI technology in finance and retail.
- Benefits: Enjoy flexible hybrid work options and competitive salary packages.
- Why this job: Be part of an innovative team shaping the future of AI with real-world impact.
- Qualifications: 5+ years in enterprise solution architecture with a focus on AI/ML system design required.
- Other info: Contract or permanent roles available, starting August 2025.
The predicted salary is between 43200 - 72000 £ per year.
Build Production-Grade Agentic Architectures for Global B2C Platforms. We are seeking a deeply technical AI Solution Architect to lead the design and delivery of agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces.
Experience translating ML models into resilient cloud applications, optimising for performance, observability and secure operations at scale.
Core Responsibilities
- Architect distributed agentic systems using LLMs and tool-using AI components across enterprise cloud environments.
- Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows.
- Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services.
- Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js.
- Integrate ML models and embeddings into production pipelines using AWS SageMaker, Bedrock or OpenAI APIs.
- Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries.
- Enforce system-level requirements for security, compliance, observability and CI/CD.
- Drive PoCs and reference architectures for multi-agent coordination, intelligent routing and goal-directed AI behaviour.
- Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations.
Must-Have Skills
- ~5+ years in enterprise solution architecture with emphasis on AI/ML system design.
- ~ Deep hands-on experience with AWS: Lambda, API Gateway, SageMaker, DynamoDB, ECS, Step Functions.
- ~ Expertise in JavaScript / TypeScript ecosystem (Node.js, React.js, Express, Next.js).
- ~ Strong understanding of LLM integration, prompt chaining and tools like LangChain or Semantic Kernel.
- ~ Experience deploying containerized services using Docker, Kubernetes, or ECS Fargate.
- ~ Familiarity with agent tool-use patterns, function calling, and autonomous workflow design.
- ~ Proficient in designing asynchronous, event-driven systems and pub/sub messaging.
- ~ API-first mindset with deep knowledge of REST, GraphQL, and streaming protocols.
- ~ Infrastructure as Code using Terraform, AWS CDK or similar.
- ~ Experience with secure cloud deployments and production ML model integration.
Bonus Skills
- Applied work with multi-agent systems, tool orchestration, or autonomous decision-making.
- Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines.
- Knowledge of AI chatbot frameworks (Rasa, BotPress, Dialogflow) or custom LLM-based UIs.
- Awareness of AI governance, model auditing, and data privacy regulation (GDPR, DPA, etc.).
- Familiarity with reinforcement learning, retrieval-augmented generation (RAG), or dynamic reasoning workflows.
Offer Details
- Role Type: Contract (outside IR35) or Permanent.
- Compensation: Market rates or six-figure salary.
- Location: London EC4 | Hybrid (some remote).
- Start Date: August 2025 (flexible).
- Eligibility: Must have UK working rights.
AI Solution Architect - Remote/Hybrid employer: Staffworx
Contact Detail:
Staffworx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect - Remote/Hybrid
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially focusing on agentic architectures. Being able to discuss recent advancements or case studies during your conversations can demonstrate your passion and expertise.
✨Tip Number 2
Network with professionals in the AI and cloud computing sectors. Attend relevant meetups or webinars where you can connect with industry experts and potentially get referrals that could help you land an interview with us.
✨Tip Number 3
Prepare to showcase your hands-on experience with AWS services and JavaScript/TypeScript frameworks. Be ready to discuss specific projects where you've implemented these technologies, as practical examples can set you apart from other candidates.
✨Tip Number 4
Stay updated on best practices for secure cloud deployments and model governance. Understanding compliance and security measures will not only enhance your knowledge but also show us that you're serious about building resilient systems.
We think you need these skills to ace AI Solution Architect - Remote/Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML system design and enterprise solution architecture. Emphasise your hands-on experience with AWS services and JavaScript/TypeScript frameworks, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about building agentic AI systems. Mention specific projects or experiences that demonstrate your ability to architect scalable solutions and integrate ML models into production environments.
Showcase Technical Skills: Clearly outline your technical skills related to the job description. Include your experience with event-driven architectures, API management, and containerisation technologies like Docker and Kubernetes. Use specific examples to illustrate your expertise.
Highlight Problem-Solving Abilities: Provide examples of how you've tackled complex challenges in previous roles, particularly in designing resilient cloud applications or optimising performance. This will show your capability to lead the implementation of full-stack interfaces and services.
How to prepare for a job interview at Staffworx
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AWS services like Lambda, SageMaker, and DynamoDB. Highlight specific projects where you've designed and implemented AI solutions, focusing on the technical challenges you faced and how you overcame them.
✨Demonstrate Your Architectural Skills
Discuss your approach to architecting distributed agentic systems. Be ready to explain how you would design modular, event-driven architectures and integrate various components like APIs and ML models into production pipelines.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle multi-agent coordination or intelligent routing in a B2C environment, and be ready to articulate your thought process.
✨Emphasise Security and Compliance Knowledge
Given the importance of security in AI deployments, be sure to discuss your understanding of compliance regulations and best practices. Share examples of how you've enforced system-level requirements for security and observability in past projects.
