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- Tasks: Design and implement cutting-edge AI solutions, including LLM-based systems and cloud deployments.
- Company: Global tech leader with a diverse workforce and innovative projects.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Expertise in Generative AI, strong programming skills, and experience with cloud platforms.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Hybrid role: 3 days working from onsite.
We are looking for a highly skilled AI Architect to lead the design and implementation of AI/GenAI solutions, including LLM-based systems, RAG pipelines, vector search, and cloud-based AI deployments.
Key Responsibilities:- Architect LLM-driven applications, GenAI platforms, and AI microservices.
- Build and optimize Retrieval-Augmented Generation (RAG) architectures.
- Integrate AI models using OpenAI GPT APIs, Hugging Face, and custom model endpoints.
- Lead vector database adoption (MongoDB Atlas Vector Search, FAISS, Pinecone).
- Design end-to-end AI pipelines using LangChain or LlamaIndex.
- Ensure AI solutions meet enterprise-grade security, compliance, and performance.
- Collaborate with backend, cloud, and data teams on scalable deployments.
- Expertise in Generative AI, embeddings, vector search, and model orchestration.
- Strong programming skills in Python and Java.
- Experience with LangChain, LlamaIndex, Hugging Face.
- Knowledge of cloud AI platforms (Azure AI Services, AWS Bedrock, GCP Vertex AI).
- Hands-on experience with Docker, Kubernetes, GitLab CI/CD.
- Understanding of event-driven architectures (Kafka/RabbitMQ).
- Experience with fine-tuning, prompt engineering, multi-agent architectures.
- Exposure to fraud detection, risk systems, or NLP-heavy enterprise workloads.
- Familiarity with microservices patterns and latency optimization.
AI Architect in City of London employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or cloud deployments. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI Architect scenarios. Think about how you’d tackle real-world problems using RAG architectures or vector databases. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Architect role. Highlight your experience with Generative AI, LLMs, and any relevant projects you've worked on. 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 explain why you're passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know what you've built and how it relates to the role. Visuals or links can really help here!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at HCLTech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI, embeddings, and vector search. Be ready to discuss your experience with LLM-driven applications and how you've implemented AI solutions in the past. This is your chance to showcase your expertise!
✨Showcase Your Programming Skills
Since strong programming skills in Python and Java are a must, prepare to talk about specific projects where you've used these languages. Bring examples of code or projects that highlight your proficiency, especially with tools like Docker and Kubernetes.
✨Understand the Cloud Landscape
Familiarise yourself with cloud AI platforms like Azure AI Services and AWS Bedrock. Be prepared to discuss how you've integrated AI models using these platforms and any challenges you faced during deployment. This will show your practical understanding of cloud-based AI solutions.
✨Collaboration is Key
As this role involves working with backend, cloud, and data teams, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you ensure everyone is on the same page, especially when designing end-to-end AI pipelines.
