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- Tasks: Lead the design of enterprise-grade AI solutions and govern complex AI platforms.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI with cutting-edge technologies and impactful projects.
- Qualifications: Proven experience in AI architecture and hands-on expertise with LLMs and cloud platforms.
- Other info: Dynamic role with significant career advancement potential in a collaborative environment.
The predicted salary is between 36000 - 60000 £ 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 - Generative AI / LLM / Cloud (Enterprise Scale) in London employer: DCV Technologies
Contact Detail:
DCV Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect - Generative AI / LLM / Cloud (Enterprise Scale) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and cloud space. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs, RAG, or any cloud-native solutions you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AI architectures, model orchestration, and cloud services. Be ready to discuss your hands-on experience with tools like Kubernetes and Docker, as well as your approach to governance and compliance.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your relevant experience and how you can contribute to our AI initiatives.
We think you need these skills to ace AI Architect - Generative AI / LLM / Cloud (Enterprise Scale) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your hands-on expertise with LLMs, cloud platforms, and any relevant projects you've led. We want to see how you fit into our vision!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI architecture and how your experience aligns with our needs. Share specific examples of your work with Generative AI and cloud solutions to grab our attention!
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your experience with tools like Kubernetes, Docker, and any relevant programming languages. We love seeing candidates who can hit the ground running with their technical know-how.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at DCV Technologies
✨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 might be asked to discuss specific projects where you've implemented these solutions.
✨Showcase Your Architecture Skills
Prepare to talk about your previous architecture designs and how they align with enterprise-grade AI solutions. Be ready to explain your approach to defining AI reference architectures and how you’ve ensured governance and compliance in past projects.
✨Engage with Stakeholders
Since this role involves engaging senior stakeholders, think of examples where you’ve successfully communicated complex AI concepts to non-technical audiences. Highlight your ability to shape AI roadmaps and how you’ve navigated stakeholder expectations in previous roles.
✨Demonstrate Your Hands-On Experience
This position requires a technically hands-on architect, so be prepared to discuss your practical experience with MLOps, CI/CD processes, and model monitoring. Share specific instances where you’ve deployed scalable AI solutions and the challenges you faced along the way.