Solution Architect, Financial Services
Solution Architect, Financial Services

Solution Architect, Financial Services

Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
Nvidia

At a Glance

  • Tasks: Design and deploy cutting-edge AI solutions for data centres in financial services.
  • Company: NVIDIA is a leader in AI computing, transforming industries with innovative technologies.
  • Benefits: Enjoy a diverse work environment, competitive salary, and opportunities for professional growth.
  • Why this job: Join a team committed to sustainability and innovation in high-performance computing.
  • Qualifications: BS/MS/PhD in Machine Learning or related field; 5+ years in AI technologies required.
  • Other info: NVIDIA values diversity and encourages all candidates to apply, even if they don't meet every requirement.

The predicted salary is between 48000 - 72000 ÂŁ per year.

NVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers; we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence!

We are looking for an individual who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. Your duties will vary from working on proof‑of‑concept demonstrations to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA‑based AI technology. Engaging with developers, quants, data scientists, and senior leaders is a significant part of the Solutions Architect role.

What You’ll Be Doing

  • FSI Strategic Engagement: Work with financial institutions and their technology ecosystem to leverage NVIDIA\’s advanced technologies.
  • Algorithmic & SDK Guidance: Guide customers in implementing next‑generation model distillation, domain adaptation, reinforcement learning (RL), and post‑training algorithms by helping them adopt NVIDIA AI SDKs and APIs.
  • Collaborative Innovation: Work closely with product management, engineering, applied research, and sales teams to develop and deliver comprehensive solutions.
  • Technical Advocacy: Improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, libraries, and AI applications.
  • Knowledge Sharing: Contribute to the wider organization and community by sharing your expert knowledge, contributing to open‑source projects, or delivering hands‑on training.
  • Enterprise Impact: Be part of the team that helps bring NVIDIA technology to life in the Enterprise, acting as the face and trusted expert advisor that our customers and partners rely on.

What We Need To See

  • BS, MS, or PhD degree in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related technical field.
  • Financial Services Background: Proven experience working within Financial Services firms.
  • AI Framework Expertise: 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers.
  • Programming Proficiency: Strong Python programming, software design, and debugging skills.
  • Parallelism & CUDA: Deep understanding of distributed computing and parallelism methodologies (model and data parallelism) coupled with a good understanding or hands‑on experience with CUDA.
  • Model Lifecycle: Experience with AI model lifecycle components, including pre‑training, supervised fine‑tuning, and model evaluation.
  • Adaptability: Capable of working in a constantly evolving environment and quickly adapting to change.
  • Communication: Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams.

Ways To Stand Out From The Crowd

  • Advanced CUDA: Deep expertise in writing and optimizing code for training and/or inference specifically for NVIDIA GPUs.
  • NVIDIA AI Enterprise: Experience with or contributions to NVIDIA deep learning frameworks, particularly NeMo, Megatron Core, or NeMo‑RL.
  • Financial Workloads: Demonstrated understanding of how GPU acceleration can be applied specifically to financial workloads (e.g., algorithmic trading, risk modeling).
  • Large‑Scale Training: Hands‑on experience in large‑scale foundation model training, accuracy, and performance profiling.
  • Tooling & Orchestration: Experience with distributed computing tools like SLURM and Kubernetes for training large models on GPUs.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High‑Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

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Solution Architect, Financial Services employer: Nvidia

NVIDIA is an exceptional employer, renowned for its commitment to innovation and sustainability in the AI computing sector. With a vibrant work culture that fosters creativity and collaboration, employees are encouraged to grow through continuous learning and development opportunities. Located in the heart of the UK, NVIDIA offers a unique chance to work on cutting-edge technologies while making a positive impact on the environment, making it an ideal place for those seeking meaningful and rewarding careers.
Nvidia

Contact Detail:

Nvidia Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Solution Architect, Financial Services

✨Tip Number 1

Familiarise yourself with NVIDIA's latest technologies and innovations in AI and data centre solutions. Understanding their products and how they apply to financial services will help you engage more effectively during interviews.

✨Tip Number 2

Network with professionals in the financial services sector who are already using NVIDIA technologies. Attend industry events or webinars to connect with potential colleagues and gain insights into the challenges they face.

✨Tip Number 3

Showcase your understanding of sustainability practices in data centres. Prepare examples of how you've integrated energy efficiency and reduced environmental impact in previous roles, as this aligns with NVIDIA's commitment to sustainability.

✨Tip Number 4

Stay updated on MLOps technologies and software-defined infrastructure tools like Kubernetes and OpenStack. Being knowledgeable about these areas will set you apart from other candidates and demonstrate your commitment to continuous learning.

We think you need these skills to ace Solution Architect, Financial Services

Expertise in AI solutions
Scalable data centre infrastructure design
Experience with NVIDIA GPUs and software stacks (CUDA, TensorRT)
Proficiency in cloud platforms (AWS, Azure, Google Cloud)
Understanding of sustainability practices for data centres
Knowledge of liquid cooling technologies
Strong written and oral communication skills
Ability to work collaboratively with cross-functional teams
Experience in Financial Services sector
Familiarity with MLOps technologies
Knowledge of software-defined infrastructure and orchestration tools (Kubernetes, OpenStack)
Technical guidance and support capabilities
Staying updated on industry trends and advancements

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI solutions and data centre infrastructure. Emphasise any relevant projects or roles you've had in financial services, particularly those involving NVIDIA technologies.

Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how it relates to data centre solutions. Mention specific examples of how you've integrated sustainable practices in previous roles, especially in the context of AI and cloud platforms.

Showcase Technical Skills: Clearly outline your proficiency with NVIDIA GPUs, CUDA, TensorRT, and cloud platforms like AWS, Azure, or Google Cloud. Use bullet points to make these skills stand out and ensure they align with the job requirements.

Highlight Communication Abilities: Since strong communication skills are essential for this role, provide examples of how you've successfully collaborated with teams or stakeholders in past positions. This could include leading projects or presenting technical information to non-technical audiences.

How to prepare for a job interview at Nvidia

✨Showcase Your Technical Expertise

Make sure to highlight your experience with AI solutions and data centre infrastructure. Be prepared to discuss specific projects where you've implemented NVIDIA technologies or similar systems, as this will demonstrate your hands-on knowledge.

✨Understand Sustainability Practices

Since the role focuses on sustainable data centre architectures, be ready to talk about how you've integrated sustainability into your previous work. Discuss any relevant practices or technologies you've used to optimise energy efficiency and reduce environmental impact.

✨Familiarise Yourself with Financial Services

Given that the position involves working with trading firms and banks, brush up on your understanding of the financial services industry. Be prepared to discuss how your technical skills can address the unique challenges faced by these organisations.

✨Communicate Clearly and Collaboratively

Strong communication skills are essential for this role. Practice articulating complex technical concepts in a way that's easy to understand. Also, think of examples where you've successfully collaborated with cross-functional teams to deliver comprehensive solutions.

Solution Architect, Financial Services
Nvidia

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