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- Tasks: Lead the design and deployment of innovative GenAI systems for regulatory automation.
- Company: Join a forward-thinking client building a next-gen AI platform.
- Benefits: Remote-first role with flexible working options across Europe.
- Why this job: Make a real impact by automating compliance workflows with cutting-edge AI technology.
- Qualifications: Experience in building GenAI systems and familiarity with advanced agent frameworks.
- Other info: Collaborate with product, engineering, and AI teams for scalable feature production.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Principal Recruitment Consultant | GenAI & ML Talent | Supporting Startups & Enterprises Across Switzerland & Europe
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\\u2019re interested, respond with your most up-to-date resume/CV and I\\u2019ll be in touch to discuss your profille.
Qualifications
Not specified in the posting.
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GenAI Architect employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the GenAI and ML space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous GenAI projects or contributions. We love seeing real-world applications of your expertise, so make sure to highlight those achievements.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and regulatory automation. We want you to be ready to discuss how you can integrate cutting-edge LLM capabilities into SaaS products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you land that GenAI Architect role, so let’s make it happen!
We think you need these skills to ace GenAI Architect
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 Your Technical Skills: Since this role involves cutting-edge tech, make sure to list any frameworks or tools you’ve worked with, like LangChain or SageMaker. We’re keen to see your hands-on experience and how you’ve applied these in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates. Plus, it’s super easy!
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 agents or improved compliance workflows, and be ready to explain your thought process.
✨Collaborate Like a Pro
Since the role involves working across product, engineering, and AI teams, be prepared to discuss your experience in cross-functional collaboration. Highlight any successful projects where you led integration efforts or defined roadmaps with stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s vision for their AI platform. Inquire about their current challenges with multi-agent systems or how they measure the success of their AI strategies.
