AI Infrastructure Engineer
About The Position
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of AI Infrastructure Engineer to join our Technology team. This role is located in Lake Mary, FL or Pittsburgh, PA In this role, you’ll make an impact in the following ways: Be hands-on with enterprise-grade NVIDIA AI infrastructure, supporting GPU-based compute, high-performance storage, and network systems designed for ML/AI at scale. Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools like Run:AI and NVIDIA BCM. Own the observability of our AI platforms—monitor health, identify performance bottlenecks, and make strategic recommendations to drive platform reliability and maturity. Automate infrastructure operations and provisioning using Python, Bash, and tools like Terraform or Ansible to reduce manual toil and accelerate experimentation. Maintain and scale AI training and inference pipelines, integrating infrastructure workflows into CI/CD systems to enable seamless, automated deployment of AI workloads.
Requirements
- Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred8-10 years of related experience required; experience in the securities or financial services industry is a plus.
- Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system-level debugging.
- Proven experience running distributed systems in Kubernetes and containerized environments using Docker.
- Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle.
- Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible.
- Knowledge of networking fundamentals and persistent storage systems.
- Ability to read and support Python code focused on ML/AI pipeline integration.
- Strong analytical and troubleshooting skills with a collaborative mindset.
- Effective communication skills and proactive ownership of platform reliability and performance.
Nice To Haves
- Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments.
- experience in the securities or financial services industry is a plus.
Responsibilities
- Be hands-on with enterprise-grade NVIDIA AI infrastructure, supporting GPU-based compute, high-performance storage, and network systems designed for ML/AI at scale.
- Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools like Run:AI and NVIDIA BCM.
- Own the observability of our AI platforms—monitor health, identify performance bottlenecks, and make strategic recommendations to drive platform reliability and maturity.
- Automate infrastructure operations and provisioning using Python, Bash, and tools like Terraform or Ansible to reduce manual toil and accelerate experimentation.
- Maintain and scale AI training and inference pipelines, integrating infrastructure workflows into CI/CD systems to enable seamless, automated deployment of AI workloads.
Benefits
- BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy.
- We provide access to flexible global resources and tools for your life’s journey.
- Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
