Queen Square Recruitment
Technical Architect
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New long term contract for the role of Technical Architect (AI-Powered E-commerce Chatbot)
Location: London (Hybrid- 1 day)
Contract Duration: 1 Year
IR35 Status: Inside IR35
The Role
This role will play a key part in shaping the future of AI-driven customer engagement for one of the UK's leading retailers. You will lead the architecture and design of intelligent e-commerce chatbot platforms, leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, cloud-native technologies, and enterprise integrations. The role requires strong technical leadership, architecture governance and innovation to deliver scalable, secure and personalized conversational experiences.
Your Profile
Key Responsibilities
- Define enterprise architecture for AI-powered conversational commerce platforms.
- Develop technical roadmaps and solution strategies for chatbot and Generative AI initiatives.
- Lead architecture reviews, solution design workshops and technical governance activities.
- Design scalable integration patterns between chatbot platforms and enterprise retail ecosystems.
- Establish AI monitoring, observability, compliance and operational support frameworks.
- Drive innovation through the evaluation and adoption of emerging AI technologies and industry best practices.
- Support business transformation objectives through strategic technology leadership and architecture guidance.
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Hands-on Skills Required – Technical Architect (AI-Powered E-commerce Chatbot)
- Proven experience designing enterprise-scale conversational AI and chatbot architectures.
- Hands-on expertise with Azure OpenAI, OpenAI GPT, Anthropic Claude, or equivalent LLM platforms.
- Experience implementing Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
- Strong knowledge of API-led architecture, microservices and event-driven integration patterns.
- Experience designing cloud-native solutions on Azure and/or AWS platforms.
- Strong understanding of AI governance, security, compliance and Responsible AI principles.
- Ability to drive architecture decisions, mentor teams and lead technical delivery across complex programs.
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Technologies
- Generative AI: Azure OpenAI, OpenAI GPT, Anthropic Claude
- Conversational AI: Microsoft Bot Framework, Dialogflow, Rasa
- Vector Databases & Search: Azure AI Search, Pinecone, Weaviate, Elasticsearch/OpenSearch
- Languages: Java, Python, JavaScript/TypeScript
- Frameworks: Spring Boot, Node.js, React
- Cloud Platforms: Azure, AWS
- Integration: REST APIs, Microservices, Event-Driven Architecture
- DevOps & Containers: Docker, Kubernetes, GitHub Actions, Terraform
- Data Platforms: SQL, NoSQL, Redis, Blob/Object Storage
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