Solution Architect, Financial Services in London

This is a highly technical, customer-facing role at the intersection of AI, accelerated computing, and financial services innovation. You will act as a trusted advisor to financial institutions, helping them design and deploy cutting‑edge AI and GPU‑accelerated solutions built on advanced computing infrastructure. The role combines deep technical expertise with strategic customer engagement, including proof‑of‑concepts, architecture design, and solution deployment. You will collaborate closely with engineering, product, and sales teams to translate complex technologies into scalable, real‑world financial applications. Operating in a fast‑moving environment, you will engage with data scientists, developers, quants, and senior stakeholders to drive adoption of next‑generation AI platforms. This role offers the opportunity to shape how AI is applied in financial services at global scale.

Accountabilities:

• Partner with financial institutions and their technology ecosystems to design and implement AI and GPU‑accelerated computing solutions.
• Provide technical leadership and architectural guidance across ideation, prototyping, and production deployment phases.
• Develop proof‑of‑concept solutions demonstrating the value of accelerated computing in financial workloads.
• Collaborate closely with product management, engineering, applied research, and sales teams to deliver end‑to‑end customer solutions.
• Engage with stakeholders including developers, data scientists, IT leaders, quants, and executives to ensure successful solution adoption.
• Support customer enablement by translating complex technical concepts into practical, deployable architectures.
• Stay current on advancements in AI, HPC, and data center technologies to continuously improve solution offerings.
• Contribute to strategic discussions on how emerging technologies can be applied within financial services environments.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Engineering, or a related technical field.
• 5+ years of experience in AI, machine learning, or accelerated computing environments.
• Strong background working within financial services organizations or on financial domain use cases.
• Hands‑on experience developing or optimizing code for training and/or inference on GPU‑based systems.
• Strong understanding of AI infrastructure, software architecture, and high‑performance computing concepts.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, including hybrid cloud environments.
• Knowledge of orchestration and infrastructure tools such as Kubernetes or OpenStack is highly valuable.
• Understanding of HPC environments, including data center architecture, networking (e.g., InfiniBand), and storage systems.
• Strong communication skills with the ability to work in fast‑evolving, cross‑functional environments.
• Self‑driven mindset with a passion for continuous learning and knowledge sharing.

Benefits:

• Competitive compensation package aligned with experience and market benchmarks.
• Opportunity to work on cutting‑edge AI and accelerated computing technologies.
• Exposure to global financial institutions and large‑scale enterprise AI deployments.
• Collaborative, innovation‑driven environment with leading experts in AI infrastructure.
• Strong career development opportunities in advanced computing and AI solution architecture.
• Inclusive and diverse workplace culture supporting continuous learning and growth.
• Opportunity to work on high‑impact projects shaping the future of AI in financial services.
• Access to advanced tools, technologies, and global engineering resources.