AI Infrastructure Engineer

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.

To be successful in this role, we're seeking the following:

• 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.
• Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments.
• 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.

BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.

Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.