At a Glance
- Tasks: Lead the design of next-gen AI systems and automate compliance workflows.
- Company: Innovative client building a cutting-edge AI platform for regulatory automation.
- Benefits: Remote-first role with flexible working options across Europe.
- Other info: Collaborate with product, engineering, and AI teams for impactful projects.
- Why this job: Join a pioneering team and shape the future of AI in regulatory compliance.
- Qualifications: Experience in building GenAI systems and familiarity with advanced agent frameworks.
The predicted salary is between 80000 - 100000 £ per year.
We are hiring on behalf of a client building a next-gen AI platform for regulatory automation. They’re urgently looking for a GenAI Architect to lead the design and deployment of multi-agent systems and integrate cutting-edge LLM capabilities into their SaaS product. You’ll be focused on designing autonomous AI agents that can reason over complex regulatory content and automate key compliance workflows for enterprise customers. This includes building out retrieval-augmented generation pipelines, memory layers, and orchestration logic for goal-directed agent behaviour. The role is remote-first (UK, Ireland, or Europe).
Core responsibilities:
- Designing end-to-end GenAI architecture including RAG pipelines, graph-based memory, vector search, and LLM agent orchestration
- Deploying solutions using frameworks like LangChain, Autogen, LlamaIndex, LangGraph
- Driving AI strategy and performance evaluation with MLOps tools (Langsmith, MLflow, SageMaker)
- Leading system integration, roadmap definition, and stakeholder collaboration
You’ll work across product, engineering, and AI to bring scalable features into production. If you’ve built GenAI systems in production and enjoy working with advanced agent frameworks, I’d be happy to share more. If you’re interested, respond with your most up-to-date resume/CV and I’ll be in touch to discuss your profile.
GenAI Architect in London employer: DeepRec.ai
At DeepRec.ai, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through our focus on cutting-edge AI technologies and the opportunity to lead transformative projects that have a real impact on the future of science. With competitive compensation, a supportive environment, and the chance to work alongside industry leaders, we provide a unique platform for engineers passionate about making a difference in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the GenAI and ML space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous GenAI projects or any relevant work. We love seeing real examples of what you can do, especially when it comes to designing autonomous AI agents.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of RAG pipelines, LLM capabilities, and MLOps tools. We want to see that you’re not just familiar with the tech, but that you can talk about it confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates ready to lead the charge in GenAI architecture.
We think you need these skills to ace GenAI Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GenAI architecture and relevant technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about GenAI and how you can contribute to our client's mission. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on any projects involving multi-agent systems or LLM capabilities, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother 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 DeepRec.ai
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain and MLOps tools. Brush up on your knowledge of RAG pipelines and LLM capabilities, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex regulatory challenges using GenAI systems. Think about scenarios where you designed autonomous AI agents or improved compliance workflows, and be ready to explain your thought process.
✨Engage with Stakeholders
Since collaboration is key in this role, be prepared to discuss how you’ve worked with cross-functional teams in the past. Highlight any experiences where you defined roadmaps or integrated feedback from stakeholders to enhance AI solutions.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s AI strategy and future projects. This not only demonstrates your enthusiasm but also gives you a chance to assess if the company aligns with your career goals.
