At a Glance
- Tasks: Lead the design of AI-powered e-commerce chatbots for top UK retailers.
- Company: Join a leading retailer at the forefront of AI-driven customer engagement.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Shape the future of customer interaction with cutting-edge AI technology.
- Qualifications: Experience in designing conversational AI architectures and strong technical leadership skills.
This role will play a key part in shaping the future of AI-driven customer engagement for one of the UK 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 responsibilities:
- Architect and design end-to-end AI-powered e-commerce chatbot solutions supporting customer service, product discovery, recommendations and order management journeys.
- Define scalable and secure conversational AI architectures leveraging LLMs, NLP/NLU technologies, prompt engineering and RAG frameworks.
- Design integrations with e-commerce platforms, CRM systems, ERP applications, payment gateways, customer support tools and enterprise knowledge repositories.
- Establish architecture standards, best practices and governance frameworks for AI-powered applications and services.
- Drive technical decisions around AI models, vector databases, cloud services, API strategies, and system integration patterns.
- Collaborate closely with business stakeholders, product owners, UX teams and engineering teams to translate business requirements into scalable technology solutions.
- Ensure compliance with security, privacy, Responsible AI and enterprise governance requirements.
- Provide technical leadership and mentoring to engineering teams while driving solution quality and delivery excellence.
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.
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.
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
Technical Architect (AI-Powered E-commerce Chatbot) in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Architect (AI-Powered E-commerce Chatbot) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tcs Uk or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tcs Uk.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tcs Uk.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Technical Architect (AI-Powered E-commerce Chatbot) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tcs Uk.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tcs Uk and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tcs Uk
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tcs Uk uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
