At a Glance
- Tasks: Design innovative AI architectures and build cutting-edge applications in a hybrid work environment.
- Company: Join a leading tech firm at the forefront of AI development.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a collaborative setting.
- Why this job: Make a real impact in the AI space while working with top-tier technologies.
- Qualifications: Experience in AI architecture and strong knowledge of LLMs and cloud platforms required.
The predicted salary is between 63000 - 77000 £ per year.
- Role: AI Architect
- (Exp Range 12+)
- Type of work: Contract
- Mode of work: Hybrid 2 days Onsite in week
JD
Essential skills/knowledge/experience
- Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).
- Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).
- Select and standardize frameworks (e. g., Lang Graph, Google ADK, MCP, A2A patterns).
- Hands‑on expertise with agentic frameworks (orchestrators).
- Experience with LLMs, prompt engineering, tool/function calling, memory management.
- Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.
- Experience on Google Cloud Platform (preferred) or equivalent hyperscale.
- Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.
Desirable skills/knowledge/experience
- Build Production Grade Agentic AI applications and necessarily have navigated through security, governance and performance management of the end to end model.
- Hands‑on expertise on MLOps / Agent Ops, CI/CD, and observability.
- Strong understanding of regulated financial services environments.
- Proven experience implementing AI risk controls, model governance, and auditability.
- Ensure alignment with FCA, PRA, data privacy, model risk management, and LBG internal policies.
- Knowledge of banking processes: retail banking, lending, payments, compliance.
- Strong experience designing end‑to‑end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Hands‑on expertise with cloud AI platforms (GCP).
- Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability.
- Experience architecting scalable real‑time, batch, and streaming inference systems with clear performance and reliability requirements.
- Familiarity with secure cloud patterns, IAM, VPC design, and data protection
AI Architect in London employer: Vallum Associates
As an Electronics Test Engineer at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of technology in a collaborative work environment. We offer competitive benefits, a strong focus on employee development, and opportunities for career advancement, all while being located in a vibrant area that fosters creativity and growth. Join us to make a meaningful impact in the field of electronics testing and enjoy a rewarding career with us.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect in London
✨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 Vallum Associates 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 Vallum Associates.
✨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 Vallum Associates.
✨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 Vallum Associates 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 AI Architect in London
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 Vallum Associates.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Vallum Associates 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 Vallum Associates
✨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 Vallum Associates 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.
