At a Glance
- Tasks: Design and build cutting-edge multi-agent AI systems for enterprise applications.
- Company: Leading consulting firm at the forefront of AI technology.
- Benefits: Competitive rate, hybrid working model, and opportunities for professional growth.
- Other info: 12-month contract with potential for extension and exciting challenges ahead.
- Why this job: Join a dynamic team and shape the future of AI with innovative projects.
- Qualifications: Experience in AI architecture and strong problem-solving skills required.
I'm currently working with a leading consulting client as they are seeking an AI Architect for a project related to collaboration.
Initial contract length: 12 months
Working Model: Hybrid (2-3 days per week)
Rate: 550-600
About the Role
Hands-on senior IC role designing, building, and productionising enterprise-grade multi-agent AI systems at scale. Operates across the full agentic stack - orchestration, model management, RAG, observability, and evaluation.
Key Responsibilities
- Architect production-grade multi-agent workflows using frameworks such as LangGraph, CrewAI, AutoGen etc.
- Design and implement agent orchestration patterns - intent detection, dynamic agent routing, conversation state management, and hierarchical multi-agent topologies.
- Build and govern MCP (Model Context Protocol) Servers exposing enterprise tools, internal systems, APIs, and data sources as structured, auditable agent tool surfaces. Knowledge of A2A is an advantage.
- Develop against and configure AI Gateway platforms (LiteLLM, AWS Bedrock, Azure API Management, Apigee AI Extensions) for multi-model routing, cost controls, quota enforcement, and model fallback.
- Integrate Responsible AI guardrails - PII masking, content moderation, toxicity filtering, and policy enforcement - across the model invocation layer.
- Own RAG pipeline design and optimisation - chunking strategy, embedding model selection, hybrid retrieval, reranking, hallucination mitigation etc.
- Build and maintain LLM evaluation frameworks - golden test sets, regression suites, LLM-as-a-judge, online A/B and shadow evals, red-teaming for prompt injection, jailbreaks, and adversarial inputs.
- Own and build LLM observability using platforms such as Langfuse, etc.
- Contribute to CI/CD pipelines for agent systems - containerised deployments, automated behavioural testing, feature flag management, and progressive rollout patterns.
- Apply security-first engineering aligned with Agent Development Lifecycle (ADLC) principles - agent identity, least-privilege tool access, sandboxed execution, and full audit traceability etc.
AI Architect in London employer: Europa Search
Join a leading consulting firm that champions innovation and collaboration in the AI space. With a hybrid working model, employees enjoy flexibility while engaging in cutting-edge projects that foster professional growth and development. The company prioritises a supportive work culture, offering competitive rates and opportunities to work with advanced technologies, making it an ideal environment for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for an AI Architect role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to multi-agent AI systems. This will give potential employers a taste of what you can bring to the table, especially when it comes to designing and implementing workflows.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI architecture. Be ready to discuss frameworks like LangGraph and CrewAI, and how you've applied responsible AI practices in your past work. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Let’s get you that AI Architect role!
We think you need these skills to ace AI Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Architect role. Highlight your experience with multi-agent systems and any relevant frameworks like LangGraph or CrewAI. We want to see how your skills match 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 architecture and how your past experiences have prepared you for this role. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building agent orchestration patterns or developing LLM evaluation frameworks, we want to see what you've done and how it relates to our needs.
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 gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Europa Search
✨Know Your Tech Stack
Make sure you’re well-versed in the frameworks mentioned in the job description, like LangGraph and CrewAI. Brush up on your knowledge of multi-agent workflows and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in AI architecture. Think about times when you had to design agent orchestration patterns or optimise RAG pipelines, and be ready to explain your thought process.
✨Understand Responsible AI
Familiarise yourself with Responsible AI practices, such as PII masking and content moderation. Be prepared to discuss how you would integrate these guardrails into your work, as this is crucial for the role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI systems and their future projects. This shows your genuine interest and helps you gauge if it’s the right fit for you.
