Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of cutting-edge AI solutions across data and cloud infrastructure.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI with impactful projects in a dynamic environment.
- Qualifications: Experience in AI architecture and hands-on expertise with LLMs and cloud platforms.
- Other info: Ideal for those passionate about delivering enterprise-scale AI solutions.
The predicted salary is between 72000 - 108000 £ per year.
We are hiring an experienced AI Architect to lead the design and governance of enterprise-grade AI/ML and Generative AI solutions across data, application and cloud infrastructure layers. This is a senior-level architecture role focused on delivering production-ready LLM, RAG and agentic AI platforms within complex enterprise environments.
Key Responsibilities
- Define and own AI reference architecture across data ingestion, model orchestration, inference services and application integration
- Architect and deploy LLM solutions (GPT, BERT, Transformers) including RAG pipelines and vector databases
- Lead LLMOps / MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring
- Design scalable cloud-native AI solutions in Azure, AWS or GCP
- Ensure governance, Responsible AI, security, compliance and non-functional requirements (NFRs)
- Engage senior stakeholders and shape AI roadmaps from discovery through delivery
Required Experience
- Proven experience as an AI Architect / Machine Learning Architect / GenAI Architect
- Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering
- Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI
- Experience with Kubernetes, Docker, microservices, API integration
- Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring
- Experience delivering enterprise AI solutions at scale
Desirable
- Experience with vector databases (Pinecone, FAISS)
- AI governance, compliance and security architecture
- Azure AI / AWS ML / Kubernetes certifications
This role suits a technically hands-on architect who has delivered production AI platforms, not purely research or academic profiles. Apply now to discuss full details.
AI Architect employer: DCV Technologies Limited
Contact Detail:
DCV Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups or webinars, and don’t be shy about sharing your expertise. You never know who might have the inside scoop on an AI Architect role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs, RAG, and cloud solutions. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AI governance, compliance, and security architecture. Be ready to discuss how you've tackled challenges in previous roles and how you can bring value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented AI Architects like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Architect role. Highlight your hands-on expertise with LLMs and cloud platforms like Azure or AWS, as we want to see how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI architecture and how your experience aligns with our needs. Don’t forget to mention any relevant projects you've worked on!
Showcase Your Technical Skills: We’re looking for someone with strong technical abilities, so be sure to include specific examples of your work with LLMs, MLOps, and cloud-native solutions. This will help us see your practical experience in action.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at DCV Technologies Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LLMs, RAG, and cloud platforms. Brush up on your hands-on experience with tools like Azure OpenAI or AWS SageMaker, as you’ll likely be asked to discuss specific projects where you’ve implemented these solutions.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about past experiences where you defined AI architectures or led MLOps strategies. Be ready to explain your thought process and how you tackled challenges in those situations.
✨Showcase Your Stakeholder Engagement Skills
Since engaging senior stakeholders is key, prepare examples of how you’ve shaped AI roadmaps or collaborated with different teams. Highlight your communication skills and how you’ve ensured alignment between technical and non-technical stakeholders.
✨Emphasise Governance and Compliance Knowledge
Given the importance of governance and Responsible AI in this role, be prepared to discuss your understanding of AI compliance and security architecture. Share any relevant experiences where you ensured that AI solutions met non-functional requirements and adhered to best practices.