AI Platform & Systems Engineer at BNY

Lake Mary, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Operational Support, Incident Management, Containerized Workloads, Kubernetes, Docker, GPU Orchestration, Infrastructure Automation, Python, Bash, CI/CD Pipelines, Linux Administration, Networking Fundamentals, Cloud Platforms, Analytical Skills, Troubleshooting Skills, Communication Skills

Industry

Financial Services

Description

AI Platform & Systems Engineer 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 Platform & Systems 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: Provide hands-on operational support and incident management for GPU-based compute infrastructure across hybrid and on-prem environments. Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools such as Run:AI, Volcano, or Kubeflow. Automate infrastructure processes and workload provisioning using Python, Bash, and configuration management tools. Maintain and scale training/inference workloads using GitOps tools like Helm, ArgoCD, and integrate with CI/CD pipelines (GitLab, Jenkins). 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. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: 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. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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Responsibilities

Provide hands-on operational support and incident management for GPU-based compute infrastructure across hybrid and on-prem environments. Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools.