At a Glance
- Tasks: Design and scale innovative AI systems while bridging prototypes to production.
- Company: Join a leading tech firm in London focused on Generative AI solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Experience with cloud platforms, containerisation, and strong programming skills required.
The predicted salary is between 63000 - 77000 £ 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 a forward-thinking EdTech company in London that prioritises innovation and employee development. As an AI Learning Experience Engineer, you'll thrive in a collaborative work culture that values creativity and offers ample opportunities for professional growth. With a focus on cutting-edge technology and a commitment to responsible AI practices, this role provides a meaningful chance to impact the future of education.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Architect – Enterprise AI Systems
✨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 Talenzon group 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 Talenzon group.
✨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 Talenzon group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Talenzon group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Generative AI Architect – Enterprise AI Systems
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 Talenzon group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Talenzon group 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 Talenzon group
✨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 Talenzon group 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.
