1d ago

Solution Architect, Financial Services

Switzerland
full-timesenior Remotefinance

🛠 Tech Stack

💼 About This Role

You'll act as a trusted advisor to financial institutions, helping them design and deploy AI and GPU-accelerated solutions built on advanced computing infrastructure. You'll collaborate with engineering, product, and sales teams to translate complex technologies into scalable, real-world financial applications. This role offers the opportunity to shape how AI is applied in financial services at global scale.

🎯 What You'll Do

  • Design and implement AI and GPU-accelerated computing solutions for financial institutions.
  • Provide technical leadership and architectural guidance from ideation to production deployment.
  • Develop proof-of-concept solutions demonstrating accelerated computing value in financial workloads.
  • Collaborate with product, engineering, and sales teams to deliver end-to-end customer solutions.

📋 Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Engineering, or related 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.

✨ Nice to Have

  • Knowledge of orchestration and infrastructure tools such as Kubernetes or OpenStack.
  • Understanding of HPC environments including data center architecture and networking.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud in hybrid setups.

🎁 Benefits & Perks

  • 💰 Competitive compensation aligned with experience and market benchmarks.
  • 🤖 Cutting-edge AI and accelerated computing technologies exposure.
  • 🏢 Global financial institutions and enterprise AI deployments.
  • 🚀 Strong career development opportunities in advanced computing and AI solution architecture.
  • 🌍 Inclusive culture supporting continuous learning and growth.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

  1. 1Recruiter Screen· 30 min
  2. 2Technical Interview· 60 min
  3. 3Hiring Manager Interview· 45 min
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