At a Glance
- Tasks: Design and scale innovative AI systems for enterprise solutions.
- Company: Join a leading tech firm in the heart of London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic on-site role with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience with cloud platforms, containerisation, and AI technologies required.
The predicted salary is between 80000 - 100000 € per year.
We are looking for a Generative AI Architect with strong experience in designing and scaling AI systems to join our client’s on-site team in London. This role focuses on defining the architecture, infrastructure, and operational practices for enterprise-grade Generative AI solutions. You will bridge the gap between prototype and production, ensuring AI systems are scalable, reliable, observable, and continuously improving.
- Infrastructure & Cloud
- Design and manage cloud infrastructure for AI workloads using platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure
- Implement Infrastructure-as-Code and containerisation strategies using Docker and Kubernetes
- Ensure scalability, security, and cost optimisation of AI deployments
- AI Operations (MLOps / AIOps)
- Establish CI/CD pipelines for AI systems, including automated testing, deployment, and rollback
- Define AI software development lifecycle (AI SDLC) practices, including workflows, code reviews, and release processes
- Implement best practices for model deployment, versioning, and experiment tracking
- Evaluation & Quality
- Design evaluation pipelines for LLM outputs and RAG system performance
- Implement automated testing strategies (regression testing, benchmark suites)
- Define quality gates and acceptance criteria for AI releases
- Apply evaluation methodologies including custom metrics and LLM-based evaluation approaches
- Monitoring & Observability
- Build observability frameworks for AI systems including logging, tracing, and alerting
- Implement monitoring solutions using tools such as Weights & Biases or custom platforms
- Define SLIs/SLOs for AI system performance and reliability
- Establish incident response processes and operational best practices for AI platforms
What We’re Looking For
- Required Skills & Experience
- Strong experience with cloud platforms and Infrastructure-as-Code
- Hands-on experience with containerisation and orchestration (Docker, Kubernetes)
- Solid understanding of MLOps / AIOps practices (CI/CD for AI, model deployment, lifecycle management)
- Experience with Generative AI technologies including LLMs, RAG architectures, and vector databases
- Strong software architecture background, designing distributed and scalable systems
- Experience with microservices and API-first architectures
- Ability to design systems for non-deterministic, AI-driven applications
- Strong programming skills (Python, TypeScript or similar)
- Experience with monitoring, observability, and production systems
- Excellent communication skills and ability to work on-site with cross-functional teams
- Nice to Have
- Experience with frameworks such as LangChain, LlamaIndex, or similar
- Experience with model fine-tuning techniques (LoRA, QLoRA, PEFT)
- Background in NLP (embeddings, semantic search, tokenisation)
- Experience with open-source AI ecosystems such as Hugging Face
- Familiarity with security and compliance requirements for AI systems
- Experience in regulated industries (e.g. finance, healthcare)
- Contributions to open-source AI/ML tools
Generative AI Architect – Enterprise AI Systems employer: Talenzon group
Join our dynamic team in London as a Generative AI Architect, where you'll be at the forefront of designing and scaling cutting-edge AI systems. We pride ourselves on fostering a collaborative work culture that encourages innovation and continuous learning, offering ample opportunities for professional growth and development. With a focus on impactful projects and a commitment to employee well-being, we provide a stimulating environment that empowers you to make a meaningful difference in the world of enterprise AI.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Architect – Enterprise AI Systems
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that Generative AI Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI systems, especially those involving cloud platforms and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Docker, Kubernetes, and AI deployment strategies. Practice common interview questions and have examples ready to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals 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 Generative AI Architect – Enterprise AI Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Generative AI Architect role. Highlight your experience with cloud platforms, containerisation, and MLOps practices. 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 relevant to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action.
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 helps us keep everything organised!
How to prepare for a job interview at Talenzon group
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud platforms mentioned in the job description, like AWS, Google Cloud, or Azure. Brush up on your knowledge of Infrastructure-as-Code and containerisation tools like Docker and Kubernetes, as these will likely come up during technical discussions.
✨Showcase Your MLOps Knowledge
Be prepared to discuss your experience with CI/CD pipelines specifically for AI systems. Think of examples where you've implemented automated testing or defined AI SDLC practices. This will demonstrate your hands-on experience and understanding of the operational side of AI.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to design scalable and reliable AI systems. Prepare to explain how you would approach challenges related to model deployment, versioning, and incident response processes. Use real-life examples to illustrate your thought process.
✨Communicate Effectively
Since this role involves working with cross-functional teams, practice articulating complex technical concepts in a clear and concise manner. Good communication skills are essential, so consider how you can convey your ideas effectively during the interview.
