Solution Architect, Financial Services
NetherlandsFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSArtificial IntelligenceGCPKubernetesMachine LearningSoftware ArchitectureAzure
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 valued.
- 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.
Responsibilities
- 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.
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