At a Glance
- Tasks: Craft innovative AI-powered solutions and bridge tech with customer needs.
- Company: Leading tech firm in London, fostering a collaborative and dynamic environment.
- Benefits: Competitive salary, travel opportunities, and professional growth.
- Other info: Exciting projects with excellent career advancement potential.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: Experience in pre-sales or consulting, strong communication skills, and coding proficiency.
The predicted salary is between 63000 - 77000 £ per year.
This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI-powered solutions.
- Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant).
- Must be available to travel as needed for meetings, conferences, and project requirements.
- Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.
- Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).
- Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).
- Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.
- Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.
- Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.
- Experience with AI model optimization, quantization, or deployment to edge devices.
- Experience designing data architectures (batch & streaming) and working with big data technologies.
- Hands-on experience designing RAG pipelines and/or multi-agent systems.
- Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act.
Senior Solution Architect in London employer: Multiverse Computing
Multiverse Computing is an exceptional employer that fosters a dynamic and innovative work culture in Greater London. With flexible working hours, an educational budget for continuous learning, and a hybrid working environment, we empower our employees to thrive while working on cutting-edge AI technologies. Join us to not only advance your career but also contribute to our mission of making AI accessible and efficient.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solution 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 Multiverse Computing 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 Multiverse Computing.
✨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 Multiverse Computing.
✨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 Multiverse Computing 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 Senior Solution 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 Multiverse Computing.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Multiverse Computing 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 Multiverse Computing
✨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 Multiverse Computing 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.
