AI Platform Production Engineer

BNY MellonLake Mary, FL
Onsite

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 Platform Production Engineer to join our Production Services team. This role is in Lake Mary, LM and Pittsburgh, PA.

Requirements

  • Deep technical expertise in DevOps and MLOps foundations for large-scale AI platforms
  • Experience with automation, CI/CD pipelines, observability, recovery mechanisms, and operational tooling for cloud-native environments
  • Proven ability to engineer and operate distributed compute, data pipelines, and deployment automation at scale
  • Strong background in building resilient, self-healing production services for complex AI workloads
  • Bachelor's degree in Information Technology, Computer Science, or a related field.
  • Typically 6-10 years of experience.
  • Strong analytical and problem-solving skills with a focus on client service.

Responsibilities

  • Provide hands-on engineering capability to automate deployment, orchestration, and management of AI workloads across cloud environments
  • Build robust monitoring, alerting, and observability across infrastructure, data pipelines, and model operations
  • Strengthening reliability and resiliency through direct implementation of automation, self-service tooling, and self-healing controls
  • Reduce manual operational dependency by embedding engineering discipline into the production services model
  • Enable a scalable, high-performance operating environment aligned to the needs of enterprise AI platforms

Benefits

  • highly competitive compensation
  • benefits
  • wellbeing programs
  • flexible global resources and tools
  • generous paid leaves
  • paid volunteer time
  • medical, dental, vision, and basic life insurance plans
  • various paid time off benefits, such as vacation and sick time
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