Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of cutting-edge AI systems for global B2C platforms.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy flexible hybrid work options and competitive salary packages.
- Why this job: Be part of a dynamic team shaping the future of AI in finance and retail.
- Qualifications: 5+ years in enterprise solution architecture with a focus on AI/ML.
- Other info: Start date is flexible; must have UK working rights.
The predicted salary is between 48000 - 84000 £ 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.
- ~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.
- 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.
- 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.
Solutions Architect - Remote / Hybrid (Permanent) employer: Staffworx
Contact Detail:
Staffworx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect - Remote / Hybrid (Permanent)
✨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 really set you apart.
✨Tip Number 2
Network with professionals in the AI and cloud computing sectors. Attend relevant meetups or webinars where you can connect with others who work in similar roles, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical examples. Be ready to discuss specific projects where you've implemented LLMs or designed event-driven architectures, as this will showcase your hands-on experience.
✨Tip Number 4
Stay updated on AWS services and tools relevant to the role, such as SageMaker and Lambda. Having a deep understanding of these technologies will not only help you in interviews but also show your commitment to the field.
We think you need these skills to ace Solutions Architect - Remote / Hybrid (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in enterprise solution architecture, particularly with AI/ML system design. Emphasise your hands-on experience with AWS services and the JavaScript/TypeScript ecosystem.
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 distributed systems and integrate ML models into production pipelines.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as your expertise in event-driven architectures, API development, and containerisation. Use examples from past work to illustrate your proficiency.
Highlight Problem-Solving Abilities: Provide examples of how you've tackled complex challenges in previous roles, especially those involving multi-agent systems or autonomous workflows. This will show your capability to drive PoCs and reference architectures effectively.
How to prepare for a job interview at Staffworx
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AWS services, particularly Lambda, SageMaker, and DynamoDB. Highlight specific projects where you've successfully integrated LLMs or built event-driven architectures, as this will demonstrate your capability to handle the technical demands of the role.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to design scalable AI systems. Prepare examples of how you've tackled complex challenges in previous roles, especially those involving multi-agent workflows or API integrations, to showcase your analytical thinking.
✨Understand the Company’s Vision
Research the company’s approach to AI and B2C platforms. Being able to articulate how your skills align with their goals will show your genuine interest in the position and help you stand out as a candidate who is not just technically proficient but also culturally fit.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team dynamics, project expectations, and future developments in AI at the company. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career aspirations.
