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- Tasks: Empower partners and clients with AI solutions, shaping innovative strategies for diverse communities.
- Company: Join a leading tech company focused on AI and urban innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for international travel.
- Why this job: Make a real impact in urban development using cutting-edge AI technologies.
- Qualifications: Master's degree in relevant fields and experience in AI solutions.
- Other info: Dynamic team culture with a focus on continuous learning and growth.
The predicted salary is between 43200 - 72000 £ per year.
Our solutions architects are key partners for our business and product teams and trusted advisors to our clients, helping them translate mission-focused goals into active AI enabled plans and actions. Specifically, we are looking for technical teammates that can help our business team develop and deploy strategies and collateral to our field teams in region and also directly support us as we educate potential clients, assist with proofs of concept, productization of workflows, and advise on successful delivery of services and solutions through our ecosystem of partners.
Our team interacts regularly with colleagues, partners and customers across our global footprint. NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. Occasional international travel may be required.
What you will be doing:- Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed.
- Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities.
- Build engaging resources—such as presentations, blogs, and interactive notebooks—that connect business strategy with real-world government and community needs.
- Collaborate with customers’ technical teams, guiding and supporting them through hands-on field trials and solution deployments.
- Advocate for customer and partner needs by helping define product requirements and championing enhancements that remove barriers.
- Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers.
- Master's degree in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience.
- At least five years experience in technical consulting, software development, or equivalent. At least three of those years should include delivering Computer Vision, Deep Learning, or Generative AI computing solutions or infrastructure.
- Experience with at least one of the following: fine tuning or deploying computer vision models (CNNs, ViT, VLM, Gen AI); fine tuning and deploying large language models; deploying agentic and Generative AI based solutions.
- Hands-on experience with Python, PyTorch and containers.
- Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).
- Effective verbal, written communications, and technical presentation skills including sharing your ideas/code clearly through blog posts and GitHub.
- Self-starter with a vision for growth, dedication to continuous learning and sharing findings across the team.
- Prior work in government, AI startups, or working with digital twins.
- Development experience with Kubernetes, Helm or Slurm.
- Experience with CICD and MLOPS technologies for building computer vision, NLP, Digital Twins or data analytics applications.
- Hands-on experience in creating solutions using NVIDIA software libraries and GPUs.
- Effective interpersonal and communications skills in additional languages and cultures, especially Spanish, Portuguese, French, German, Vietnamese, Thai, Bahasa, or Arabic.
Solution Architect, Urban AI in London employer: NVIDIA Corporation
Contact Detail:
NVIDIA Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect, Urban AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your expertise in AI solutions. We recommend doing mock interviews with friends or using online resources to refine your pitch. Remember, confidence is key!
✨Tip Number 3
Showcase your skills through projects! Create a portfolio that highlights your experience with computer vision, deep learning, or generative AI. We love seeing real-world applications of your work, so don’t hold back!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to our mission in urban AI.
We think you need these skills to ace Solution Architect, Urban AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Solution Architect role. Highlight your experience with AI, computer vision, and any relevant projects you've worked on. We want to see how your skills align with 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 urban AI and how your background makes you a perfect fit for our team. Don’t forget to mention any specific experiences that relate to the job description.
Showcase Your Communication Skills: Since effective communication is key in this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it's through your CV, cover letter, or any additional materials, we want to see your communication prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at NVIDIA Corporation
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially around AI, computer vision, and deep learning. Brush up on your Python and PyTorch knowledge, and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Communication Skills
As a Solution Architect, you'll need to communicate complex ideas clearly. Prepare to explain your past experiences in a way that’s easy to understand. Practise articulating your thoughts on how you’ve collaborated with different teams and clients, as this will be crucial in your role.
✨Prepare Real-World Examples
Think of specific instances where you’ve successfully deployed AI solutions or mentored others. Be ready to share these stories during the interview, highlighting your problem-solving skills and how you’ve driven innovation in previous roles.
✨Research the Company Culture
Understand NVIDIA's values and work environment. Since they support a flexible work-life balance, think about how you can align your personal work style with their culture. This will help you demonstrate that you’re not just a fit for the role, but also for the company.
